Method and apparatus for controlling media play device

The present disclosure is related to a play control method, apparatus and terminal. The method comprises: acquiring brain wave information of a user; and controlling an electronic device based on the brain wave information. When the embodiments of this disclosure are applied, by acquiring brain wave information of a user and controlling an electronic device based on the brain wave information, the state of the user can be reflected through the brain wave information; accordingly, effective control of the user's needs can be realized through the brain wave information without any triggering operation by the user, thereby enhancing the user experience and improving the intelligence level of electronic device.

This application claims priority of the Chinese Patent Application No. 201510518405.9, filed on Aug. 21, 2015, which is incorporated herein by reference in its entirety.

TECHNICAL FIELD

The present disclosure is related to the field of communication technology, and more particularly, to a play control method, apparatus and terminal.

BACKGROUND

With rapid development of science and technology of electronics and internet technology, play devices are more and more widely used in people's daily life, such as computers, tablet computers, televisions, mobile phones, personal stereos, hand-held readers and the like. Take televisions as an example, when TV programs are played on TVs, in the related arts, only when receiving control commands triggered by triggering operations by users, will TVs execute control response, such as switching TV programs, pause playing, reducing sound volume etc. When users do not perform triggering operations, it is hard for play devices such as TVs to effectively respond to user's play needs. As a result, the user experience is poor and the intelligence level of play devices is low.

SUMMARY

Aspects of the disclosure provide a method for controlling an electronic device. The method includes acquiring brain wave information of a user who is associated with the electronic device, and controlling the electronic device based on the brain wave information.

To acquire the brain wave information of the user who is associated with the electronic device, in an example, the method includes detecting an object being in touch with a sensor device, determining whether the object is the user and acquiring the brain wave information of the user when the object is the user.

To determine whether the object is the user, the method includes receiving touch attributes of the object that is in touch with the sensor device, determining whether at least one of the touch attributes of the object meets a preset condition, and determining that the object that is in touch with the sensor device is the user when the at least one of the touch attributes meets the preset condition.

To determine whether the at least one of the touch attributes of the object meets the preset condition, in an example, the method includes when a shape of the object detected by a built-in area sensor in the sensor device matches with a preset shape, determining that the detected shape meets the corresponding preset condition. In another example, the method includes when a temperature of the object detected by a built-in temperature sensor in the sensor device matches with a preset temperature, determining that the detected temperature meets the corresponding preset condition. In another example, the method includes when a pressure of the object is detected by a built-in pressure sensor, an area of the object is detected by the built-in area sensor, and a ratio of the pressure to the area matches with a preset density, determining that the detected pressure and area meet the corresponding preset condition.

To acquire the brain wave information of the user, in an example, the method includes detecting the brain wave information of the user using a built-in brain wave sensor in the sensor device.

To detect the brain wave information of the user using the built-in brain wave sensor in the sensor device, the method includes determining a contact position where the user is in touch with the sensor device, and detecting the brain wave information of the user using the built-in brain wave sensor that is selected from a plurality of built-in brain wave sensors in the senor device, and is the closest to the contact position.

In an embodiment, to acquire the brain wave information of the user, the method includes receiving the acquired brain wave information of the user transmitted by a brain wave detector.

To acquire the brain wave information of the user, in an example, the method includes acquiring at least one of a frequency, an amplitude and a waveform of brain wave parameters of the user, and determining a brain wave type corresponding to the acquired brain wave parameter as the brain wave information of the user. To determine the brain wave type corresponding to the acquired brain wave parameter as the brain wave information of the user, the method includes retrieving the brain wave type corresponding to the acquired brain wave parameter from a first preset relationship table which records corresponding relationships between different brain wave parameters and brain wave types.

To acquire the brain wave information of the user, in another example, the method includes acquiring at least one of a frequency, an amplitude and a waveform of brain wave parameters of the user, acquiring at least one of an age, a gender and a health state of physiological parameters of the user, and determining a brain wave type corresponding to the acquired brain wave parameter and the acquired physiological parameter as the brain wave information of the user. To determine the brain wave type corresponding to the acquired brain wave parameter and the acquired physiological parameter as the brain wave information of the user, the method includes retrieving the brain wave type corresponding to the acquired brain wave parameter and the acquired physiological parameter from a second preset relationship table which records corresponding relationships among different brain wave parameters, physiological parameters and brain wave types.

To control the electronic device based on the brain wave information, in an example, the method includes when the brain wave information has a type identification of a β wave or an α wave, controlling the electronic device to continue a previous operation of preset data. In another example, the method includes when the brain wave information has the type identification of a δ wave, controlling the electronic device to stop the previous operation of preset data. In another example, the method includes when the brain wave information has the type identification of any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave, outputting prompt information for changing the preset data. In another example, the method includes when the brain wave information has the type identification of any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave, reducing a sound volume.

To control the electronic device based on the brain wave information, in an example, the method includes generating a control command based on the brain wave information and sending the control command to a media play device to trigger the media play device to execute a play response to the brain wave information. In an example, when the brain wave information has a type identification of a δ wave, the control command is used to control the media play device to stop playing preset data. In another example, when the brain wave information has the type identification of any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave, the control command is used to control the media play device to output prompt information for changing the preset data. In another example, when the brain wave information has the type identification of any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave, the control command is used to control the media play device to reduce a play sound volume for playing the preset data.

Aspects of the disclosure provide a terminal device that includes a processor and a memory storing instructions executable by the processor. The processor is configured to acquire brain wave information of a user, and control an electronic device associated with the user based on the brain wave information.

According to an aspect of the disclosure, the processor is configured to receive touch attributes of an object that is in touch with a sensor device, determine whether at least one of the touch attributes of the object meets a preset condition, determine that the object in touch with the sensor device is the user when the at least one of the touch attributes meets the preset condition, and acquire the brain wave information of the user. In an example, the processor is configured to when a shape of the object detected by a built-in area sensor in the sensor device matches with a preset shape, determine that the detected shape meets the corresponding preset condition. In another example, the processor is configured to when a temperature of the object detected by a built-in temperature sensor in the sensor device matches with a preset temperature, determine that the detected temperature meets the corresponding preset condition. In another example, the processor is configured to when a pressure of the object is detected by a built-in pressure sensor, an area of the object is detected by the built-in area sensor, and a ratio of the pressure to the area matches with a preset density, determine that the detected pressure and area meet the corresponding preset condition.

In an embodiment, the processor is also configured to determine a contact position where the user is in touch with a sensor device, and detect the brain wave information of the user using a built-in brain wave sensor that is selected from a plurality of built-in brain wave sensors and is closest to the contact position in the sensor device.

According to an aspect of the disclosure, the processor is also configured to acquire at least one of a frequency, an amplitude and a waveform of brain wave parameters of the user and determine a brain wave type corresponding to the acquired brain wave parameter as the brain wave information of the user.

In an example, the processor is configured to acquire at least one of a frequency, an amplitude and a waveform of brain wave parameters of the user, acquire at least one of an age, a gender and a health state of physiological parameters of the user, and determine a brain wave type corresponding to the acquired brain wave parameter and the acquired physiological parameter as the brain wave information of the user.

In an embodiment, the processor is also configured to generate a control command corresponding with the brain wave information, and send the control command to a media play device to trigger the media play device to execute a play response to the brain wave information. In an example, when the brain wave information has a type identification of a δ wave, the control command is used to control the media play device to stop playing preset data. In another example, when the brain wave information has the type identification of any of a 0 wave, a hump wave, a K-complex wave and a sleep spindle wave, the control command is used to control the media play device to output prompt information for changing the preset data. In another example, when the brain wave information has the type identification of any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave, the control command is used to control the media play device to reduce a play sound volume for playing the preset data.

DETAILED DESCRIPTION

The terms used in this disclosure are only intended to describe the specific embodiments rather than to limit this disclosure. The terms such as “a/an”, “the” and “said” in single forms used in this disclosure and the appended claims are also intended to include plural forms, unless clearly specified otherwise in the context. It should be noted that, the term “and/or” used herein includes any or all combinations of one or more related listed items.

It should be noted that although terms such as “first”, “second” and “third” are used to describe various information, such information shall not be limited to these terms. These terms are only used to distinguish information of the same type. For example, when not departing from the scope of this disclosure, first information may also be named as second information, and vice versa. Depending on the context, the word “if” used herein may be interpreted as “when” or “determining that . . . in response to”.

As shown inFIG. 1,FIG. 1is a flow chart showing a play control method according to an exemplary embodiment of this disclosure. The method may be used in a terminal and comprises steps101-102as below:

Step101: acquiring brain wave information of a target user; and

Step102: executing play control corresponding with the brain wave information.

When this embodiment of this disclosure is applied, by acquiring brain wave information of a target user and executing play control corresponding with the brain wave information, the state of the target user can be reflected through the brain wave information; accordingly, effective control of the user's needs can be realized through the brain wave information without any triggering operation by the user, thereby enhancing the user experience and improving the intelligence level of play devices.

The embodiments of this disclosure may be executed by a play device used for playing at least one type of information including characters, graphics, images, audio, video, animation and the like. The play device includes computers, tablet computers, televisions, mobile phones, personal stereos, hand-held readers and the like. The embodiments of this disclosure may be executed by a control device that executes play control to the play device. The play device may have a play control function or both a play control function and a brain wave information detection function. The control device may have a brain wave information detection function.

Regarding step101, the brain wave information may include at least one brain wave parameter from the frequency, the amplitude and the waveform of the brain wave, or may include the type identification of various brain wave types divided based on the parameters, such as the frequency, the amplitude and the waveform of the brain wave. The target user may be a person contacting a play device, a control device or a brain wave detection device. In other optional solutions, the target user may be other objects having brain waves and contacting a play device, a control device or a brain wave collection device, or may be other objects having brain waves and spaced from the play device, the control device or the brain wave collection device a preset distance.

In the embodiments of this disclosure, acquiring the brain wave information of the target user may comprise detecting the brain wave information of the target user using an in-built brain wave sensor. The brain wave sensor is built in the executing device of the embodiments of this disclosure. The detected brain wave information may be brain wave parameters such as the frequency, the amplitude and the waveform of the brain wave, or the type identification of various brain wave types divided based on the brain wave information parameters, such as the frequency, the amplitude and the waveform of the brain wave.

In the embodiments of this disclosure, acquiring the brain wave information of the target user may comprise receiving the brain wave information of the target user transmitted by a brain wave detector. The brain wave detector and the executing device are separately provided in the embodiments of this disclosure. The transmitted brain wave information may be brain wave parameters such as the frequency, the amplitude and the waveform of the brain wave, or the type identification of various brain wave types divided based on the brain wave information parameters, such as the frequency, the amplitude and the waveform of the brain wave.

Before acquiring the brain wave information of the target user, detection may be performed to determine whether the object contacting the target device is the target user. When the object is the target user, the brain wave information of the target user is acquired. The target device may be the play device or the control device that executes the embodiments of this disclosure, a sleep device for playing sleep music, a remote control pillow or mattress or hat having a control function. The target device may be separately provided from the play device or the control device that executes the embodiments of this disclosure, and may be a preset device contacted by the user, such as a mattress, a pillow, a headrest or a hat. The target device may be the brain wave detector separately provided from the executing device of the embodiments of this disclosure.

In the embodiments of this disclosure, detecting whether the object contacting a target device is the target user comprises: determining if at least one parameter of the contact parameters representing the contact of the object and the target device meets a corresponding preset condition; and determining that the object contacting the target device is the target user if at least one parameter of the contact parameters meets the corresponding preset condition.

Determining whether at least one parameter of the contact parameters representing the contact of the object and the target device meets the corresponding preset condition comprises one or more the following modes:

Mode 1: if the contact parameter comprises a shape, and the shape of the object detected by an in-built area sensor matches with a preset shape, determining that the detected shape meets the corresponding preset condition.

The area sensor may be built in the play device or the control device that executes the embodiments of this disclosure, or in the target device independent from the play device or the control device, or in other preset device. For example, the area sensor may be built in a mattress. The target device may be a pillow. An area of the object contacting the mattress may be acquired through the area sensor. The shape of the object may be acquired through the area. If the shape matches that of a human, it is determined that the detected shape meets the corresponding preset condition, and that the object contacting the target device is a human.

Mode 2: if the contact parameter comprises a temperature, and the temperature of the object detected by an in-built temperature sensor matches with a preset temperature, determining that the detected temperature meets the corresponding preset condition.

The temperature sensor may be built in the play device or the control device that executes the embodiments of this disclosure, or in the target device independent from the play device or the control device, or in other preset device. For example, the temperature sensor may be built in a mattress. The target device may be a pillow. If the temperature acquired by the temperature sensor falls into the scope of a human's body temperature, it is determined that the detected temperature meets the corresponding preset condition, and that the object contacting the target device is a human.

Mode 3: if the contact parameter comprises a pressure and an area, and a ratio of the pressure of the object detected by an in-built pressure sensor to the area of the object detected by an in-built area sensor matches with a preset density, determining that the detected pressure and area meet the corresponding preset condition.

The area sensor and the pressure sensor may be built in the play device or the control device that executes the embodiments of this disclosure, or in the target device independent from the play device or the control device, or in other preset device.

Detecting the brain wave information of the target user using an in-built brain wave sensor may comprise: determining a contact position where the target user contacts the target device; and detecting the brain wave information of the target user using an in-built brain wave sensor closest to the contact position. The contact position can be determined by a pressure-sensitive sensor built in the target device. Brain wave information can be detected more accurately by the brain wave sensor closest to the contact position, so that the accuracy and effectiveness of play control can be improved.

Regarding step102, corresponding relations between various brain wave information and various play control can be preset, and play control corresponding with the brain wave information can be performed based on the preset corresponding relations. The play control may include ordinary control of characters, graphics, images, audio, video, animation and the like played by a play device, such as continuing, switching, pausing, reducing the sound volume and the like. The corresponding relations between various brain wave information and various play control may include corresponding relations between at least one brain wave parameter from the frequency, the amplitude, the waveform, the type identification and the like and various play control.

Brain waves may be divided into four types: a δ wave, a θ wave, an α wave and a β wave. The corresponding brain wave information may include at least one of the type identification of a δ wave, the type identification of a θ wave, the type identification of an α wave and the type identification of a β wave.

An α wave may appear when a healthy adult is calm or feels happy. Its frequency range is 8-13 Hz and its amplitude range is 20-100 μV. It is mainly distributed in the parietal occipital region, and is usually in the shape of a sine wave. It also changes depending on the brain development level or the age. The number of α waves of children gradually increases as their brains mature, and the frequency of the α wave also increases until it becomes steady in the adulthood. The frequency of the α wave slows down in old age.

A β wave may appear when a nervous or exciting feeling appears. Its frequency range is 14-30 Hz and its amplitude range is 5-20 μV. It may be distributed across the whole brain, and is mainly distributed in the anterior hemisphere and the temporal region. It is related with gender, psychological state, personal character and age. A β wave appears more often in women than men, and more often in old people than adults. When humans have unstable mood, are applied with tranquilizers or hypnotics, β waves will increase and their amplitude will also increase.

A θ wave appears more often when a human is tired or has fallen asleep. Its frequency range is 4-7 Hz and its amplitude range is 100-150 μV. It is a main component of an electroencephalogram of young people aged between 10 and 17. It is mainly distributed in the upper apex and the temporal region. Its number gradually decreases, its frequency gradually increases and its amplitude gradually decreases from children to adults. Few θ waves will appear in the electroencephalogram of an adult. When an adult feels depressed, disappointed or frustrated, about 20 seconds of θ waves may appear. A θ wave is common for old people and sick people.

A δ wave may appear when an adult is totally exhausted or sleepy or has severe encephalosis or when a child is immature in intelligence. Its frequency range is 1-3 Hz and its amplitude range is 20-200 μV. A δ wave may appear in the brain record of an animal that has gone through a subcortical transection surgery. A δ wave can only appear in the cortex, and is not controlled by the nerves of lower parts of the brain.

In addition, there may be normal brain waves having special waveforms, such as hump waves, σ rhythm waves, λ waves, k-complex waves, μ rhythm waves and the like.

A μ rhythm wave is a comb rhythm having a frequency of 8-12 Hz. It may be distributed in the central region. When μ a rhythm waves appear in the central regions of the both sides, they may be asynchronous and asymmetrical. When eyes are open, μ rhythm waves do not disappear. When a fist is made at the opposite side or metal activities are suppressed due to stimulus of feelings, μ rhythm waves may disappear temporarily; this case may occur to a healthy human, a human having a nerve illness or brain trauma etc., but the implications are unclear.

A vertex sharp transient wave or a hump wave is a negative vertex sharp wave simultaneously appearing in the apex and central regions in a preliminary stage of light sleep, with the apex region more prominent. Its frequency range is 3-5 Hz and its amplitude range is 100-300 μV. When a pair of hump waves appear, they are also called “Double Hump Waves”.

A sleep spindle wave is also called a σ rhythm wave. The frequency range of a σ rhythm wave of an adult may be 12-14 Hz, and the frequency range of a σ rhythm wave of a child may be 10-12 Hz. It is mainly distributed in the apex/central region. For children, σ rhythm waves may be asynchronous for the left and right sides. For people aged 60 or older, σ rhythm waves remarkably reduce or disappear. A σ rhythm wave is a main indicator of brain wave in the light sleep period.

A K-complex wave is a complex wave composed of a vertex sharp transient wave and a σ rhythm wave. It may appear automatically in the light sleep period or due to triggering of external feeling stimulus, in particular sound stimulus. Usually, it appears symmetrically on both sides. A σ rhythm wave is an awakening reaction in normal sleep.

As known from the above brain waves, in the embodiments of this disclosure, acquiring the brain wave information of the target user may comprise: acquiring at least one brain wave parameter of the frequency, the amplitude and the waveform from the target user; and determining the brain wave type corresponding with the acquired brain wave parameter as the brain wave information of the target user. The brain wave information of the target user can be acquired quickly and accurately through the parameters such as a frequency, an amplitude and a waveform, thereby improving the play control efficiency.

Determining the brain wave type corresponding with the acquired brain wave parameter as the brain wave information of the target user may comprise: retrieving the brain wave type corresponding with the acquired brain wave parameter from a first preset relationship table which records corresponding relationships between different brain wave parameters and brain wave types.

In the embodiments of this disclosure, acquiring the brain wave information of the target user may comprise: acquiring at least one brain wave parameter of the frequency, the amplitude and the waveform from the target user; acquiring at least one physiological parameter of the age, the gender and the health state from the target user; and determining the brain wave type corresponding with the acquired brain wave parameter and the acquired physiological parameter as the brain wave information of the target user. The brain wave information of the target user can be acquired quickly and accurately through the parameters such as a frequency, an amplitude, a waveform, an age, gender and health state, thereby improving the play control efficiency.

Determining a brain wave type corresponding with an acquired brain wave parameter and an acquired physiological parameter as the brain wave information of the target user may comprise: retrieving a brain wave type corresponding with the acquired brain wave parameter and the acquired physiological parameter from a second preset relationship table which records corresponding relationships among different brain wave parameters, physiological parameters and brain wave types.

For example, image information of the target user may be acquired by a camera. Gender and age of the target user may be acquired by processing the acquired image information. Medical record corresponding with the image information of the target user may be acquired from a medical record server. The health state of the target user may be acquired by performing information extraction to the medical record.

The play control corresponding with the brain wave information executed in the embodiments of this disclosure is directed to the brain activities of the user, and can effectively reflect the implementation needs of the user. Effective control of the user's needs can be realized through the brain wave information without any triggering operation by the user, thereby enhancing the user experience and improving the intelligence level of play devices.

As shown inFIG. 2,FIG. 2is a flow chart showing a play control method according to another exemplary embodiment of this disclosure. The method comprises steps201-205:

Step201: acquiring the brain wave information of the target user;

Step202: if the brain wave information is the type identification of a β wave or an α wave, continuing playing preset data;

Step203: if the brain wave information is the type identification of a δ wave, stopping playing the preset data;

Step204: if the brain wave information is the type identification of any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave, outputting prompt information for changing the preset data; or

Step205: if the brain wave information is the type identification of any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave, reducing the play sound volume of the preset data.

In the embodiments of this disclosure, by executing different play control for different types of brain waves, this disclosure can improve the flexibility of play control.

The preset data may be at least one of characters, graphics, images, audio, video, animation and the like. For example, the preset data may be audio and video data corresponding with movie and TV programs. The type identification may be a frequency range, an amplitude range, a waveform name or a wave name of various brain waves.

In the embodiments of this disclosure, outputting prompt information for changing the preset data may be performed by the following one or more modes:

Mode 1: playing a voice prompt for changing the preset data, wherein the voice prompt may include voice identification of the data to be played;

Mode 2: popping an information block including other preset data; and

Mode 3: top displaying a play menu including various play data.

In other embodiments of this disclosure, play control different from that of the embodiments of this disclosure may be performed according to different types of brain waves. For example, when the brain wave is a δ wave, a clock alarm may be played to prompt the user; when the brain wave is any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave, play of the preset data is stopped and sleep music is played.

As shown inFIG. 3,FIG. 3is a flow chart showing a play control method according to another exemplary embodiment of this disclosure. The method comprises steps301-303:

Step301: acquiring the brain wave information of the target user;

Step302: generating a control command corresponding with the brain wave information; and

Step303: sending the control command to an associated play device to trigger the play device to execute play response corresponding with the brain wave information.

In the embodiments of this disclosure, by generating a control command corresponding with the brain wave information and sending the control command to an associated play device to trigger the play device to execute play response corresponding with the brain wave information, this disclosure can execute play control for different play devices.

The associated play device may be a preset device to be controlled, or for example, a play device within a preset distance relative to the target user or the control device of the embodiments of this disclosure.

If the brain wave information is the type identification of a δ wave, the control command is configured to stop playing preset data.

If the brain wave information is the type identification of any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave, the control command is configured to output prompt information for changing the preset data; or

if the brain wave information is the type identification of any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave, the control command is configured to reduce the play sound volume of the preset data.

In other embodiments of this disclosure, control commands corresponding with the brain wave information and different from that in the embodiments of this disclosure may be generated. For example, if the brain wave information is the type identification of a δ wave, the control command is configured to play a clock alarm; if the brain wave information is the type identification of any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave, the control command is configured to stop playing the preset data and play sleep music.

As shown inFIG. 4,FIG. 4is a schematic application scene of a play control method according to an exemplary embodiment of this disclosure. The scene shown inFIG. 4includes a pillow as a brain wave detector, a remote controller as a control device and a TV as a play device. The pillow and the remote controller are wirelessly connected, and can transmit and exchange information therebetween on the basis of wireless connection. The remote controller and the TV are wirelessly connected, and can transmit and exchange information therebetween on the basis of wireless connection. It should be understood that the brain wave detector is only embodied as a pillow in the embodiments of this disclosure; the control device is only embodied as a remote controller in the embodiments of this disclosure; and the play device is only embodied as a TV in the embodiments of this disclosure. The brain wave detector in the present embodiment may be a headrest, a hat or other articles; the play device may be a personal computer PC, a DVD or other digital broadcast terminals; and the control device may be a smart cell phone or other smart terminals.

In the application scene shown inFIG. 4, the pillow shown inFIG. 4detects the brain wave information of the target user contacting the pillow, and sends the detected brain wave information to the remote controller shown inFIG. 4. The remote controller generates a control command corresponding with the brain wave information, and sends the same to the TV shown inFIG. 4, which executes play response corresponding with the brain wave information.

For example, when the brain wave information is the frequency of a brain wave, the remote controller can identify the type identification of the brain wave on the basis of the frequency thereof, generates a control command corresponding with the type identification and sends the same to the TV shown inFIG. 4, taking the control command as the control command corresponding with the frequency of the brain wave.

As shown inFIG. 5,FIG. 5is a schematic application scene of a play control method according to an exemplary embodiment of this disclosure. The scene shown inFIG. 5includes a pillow as a brain wave detector and a smart cellphone as a play device. The pillow and the smart cellphone are wirelessly connected, and can transmit and exchange information therebetween on the basis of wireless connection. It should be understood that the brain wave detector is only embodied as a pillow in the embodiments of this disclosure; and the play device is only embodied as a smart cellphone in the embodiments of this disclosure. The brain wave detector in the present embodiment may be a headrest, a hat or other articles; and the play device may be a tablet computer or other smart terminals.

In the application scene shown inFIG. 5, the pillow shown inFIG. 5detects the brain wave information of the target user contacting the pillow, and sends the detected brain wave information to the smart cellphone shown inFIG. 5. The smart cellphone executes play control corresponding with the brain wave information based on the same.

For example, when the brain wave information is the frequency of a brain wave, the smart cellphone can identify the type identification of the brain wave on the basis of the frequency thereof, taking the play control corresponding with the type identification as the play control corresponding with the frequency of the brain wave.

In other application scenes of this disclosure, the pillow shown inFIG. 5detects the brain wave information of the target user contacting the pillow, may generate a control command corresponding with the brain wave information of the same basis, and may sends the control command to the play device. The play device performs play control corresponding with the brain wave information in response to the control command.

For example, when the brain wave information is the frequency of a brain wave, the pillow can identify the type identification of the brain wave on the basis of the frequency thereof, generates a control command corresponding with the type identification and sends the same to the play device, taking the generated control command as the control command corresponding with the frequency of the brain wave.

Corresponding with the embodiments of the play control method described above, this disclosure also provides embodiments of a play control apparatus and a corresponding terminal.

As shown inFIG. 6,FIG. 6is a block diagram showing a play control apparatus according to an exemplary embodiment of this disclosure. The play control apparatus comprises an acquiring unit61and a controlling unit62.

The acquiring unit6181is configured to acquire brain wave information of a target user.

The controlling unit62is configured to execute play control corresponding with the brain wave information.

When this embodiment of this disclosure is applied, by acquiring brain wave information of a target user and executing play control corresponding with the brain wave information, the state of the target user can be reflected through the brain wave information; accordingly, effective control of the user's needs can be realized through the brain wave information without any triggering operation by the user, thereby enhancing the user experience and improving the intelligence level of play devices.

As shown inFIG. 7,FIG. 7is a block diagram showing a play control apparatus according to another exemplary embodiment of this disclosure. The acquiring unit61may include a detecting unit611and a first acquiring sub-unit612based on the embodiment shown inFIG. 6.

The detecting unit611is configured to detect if the object contacting a target device is the target user.

The first acquiring sub-unit612is configured to acquire the brain wave information of the target user if the object is the target user.

When this embodiment of this disclosure is applied, by detecting whether the object contacting a target device is the target user and acquiring the brain wave information of the target user, this disclosure can prevent from acquiring information of an invalid object, thereby increasing the play control efficiency.

As shown inFIG. 8,FIG. 8is a block diagram showing a play control apparatus according to another exemplary embodiment of this disclosure. The detecting unit611may include a determining unit6111and a target user determining unit6112based on the embodiment shown inFIG. 7.

The determining unit6111is configured to determine if at least one parameter of the contact parameters representing the contact of the object and the target device meets a corresponding preset condition.

The target user determining unit6112is configured to determine that the object contacting the target device is the target user if at least one parameter of the contact parameters meets the corresponding preset condition.

When this embodiment of this disclosure is applied, by determining the object contacting the target device and the contact parameters representing the contact of the object and the target device, the object can be determined as the target user quickly, so this disclosure can increase the play control efficiency.

As shown inFIG. 9,FIG. 9is a block diagram showing a play control apparatus according to another exemplary embodiment of this disclosure. The determining unit6111may include at least one pair of a detecting sub-unit and a determining sub-unit selected from a first detecting sub-unit61111, a first determining sub-unit61112, a second detecting sub-unit61113, a second determining sub-unit61114, a third detecting sub-unit61115and a third determining sub-unit61116based on the embodiment shown inFIG. 8. To facilitate illustration, the above six sub-units are shown inFIG. 9.

The first detecting sub-unit61111is configured to acquire the shape of the object using an in-built area sensor if the contact parameter comprises the shape.

The first determining sub-unit61112is configured to determine that the detected shape meets the corresponding preset condition if the shape matches with a preset shape.

The second detecting sub-unit61113is configured to acquire the temperature of the object using an in-built temperature sensor if the contact parameter comprises the temperature.

The second determining sub-unit61114is configured to determine that the detected temperature meets the corresponding preset condition if the temperature matches with preset temperature information.

The third detecting sub-unit61115is configured to acquire the area and the pressure of the object using an in-built area sensor and an in-built pressure sensor if the contact parameter comprises the pressure and area.

The third determining sub-unit61116is configured to determine that the detected area and pressure meet the corresponding preset condition if a ratio of the pressure to the area matches with a preset density.

When this embodiment of this disclosure is applied, by determining the object contacting the target device as the target user more accurately and quickly through an in-built area sensor, an in-built pressure or temperature sensor, this disclosure can increase the play control efficiency.

As shown inFIG. 10,FIG. 10is a block diagram showing a play control apparatus according to another exemplary embodiment of this disclosure. The first acquiring sub-unit612may include a second acquiring sub-unit6121based on the embodiment shown inFIG. 7.

The second acquiring sub-unit6121is configured to detect the brain wave information of the target user using an in-built brain wave sensor.

When this embodiment of this disclosure is applied, by detecting the brain wave information of the target user using an in-built brain wave sensor, the brain wave information of the target user can be acquired accurately and quickly, so this disclosure can increase the play control accuracy and effectiveness.

As shown inFIG. 11,FIG. 11is a block diagram showing a play control apparatus according to another exemplary embodiment of this disclosure. The second acquiring sub-unit6121may include a position determining unit61211and a third acquiring sub-unit61212based on the embodiment shown inFIG. 10.

The position determining unit61211is configured to determine a contact position where the target user contacts the target device.

The third acquiring sub-unit61212is configured to detect the brain wave information of the target user using an in-built brain wave sensor closest to the contact position.

When this embodiment of this disclosure is applied, after determining the contact position where the target user contacts the target device, the brain wave information of the target user can be acquired accurately using an in-built brain wave sensor closest to the contact position, so this disclosure can increase the play control accuracy and effectiveness.

As shown inFIG. 12,FIG. 12is a block diagram showing a play control apparatus according to another exemplary embodiment of this disclosure. The acquiring unit61may include an information receiving unit613based on the embodiment shown inFIG. 6.

The information receiving unit613is configured to receive the acquiring brain wave information of the target user transmitted by a brain wave detector.

When this embodiment of this disclosure is applied, by receiving the brain wave information of the target user transmitted by a brain wave detector at a terminal, the terminal of this disclosure does not need to directly detect the brain wave information of the target user, so that the terminal can receive the brain wave information of different target users, allowing the terminal to execute display control to different target users.

As shown inFIG. 13FIG. 13is a block diagram showing a play control apparatus according to another exemplary embodiment of this disclosure. The acquiring unit61may include a first parameter acquiring sub-unit614and a first determining sub-unit615based on the embodiment shown inFIG. 6.

The first parameter acquiring sub-unit614is configured to acquire at least one brain wave parameter of the frequency, the amplitude and the waveform from the target user.

The first determining sub-unit615is configured to determine the brain wave type corresponding with the acquired brain wave parameter as the brain wave information of the target user.

When this embodiment of this disclosure is applied, by acquiring at least one brain wave parameter the frequency, the amplitude and the waveform from the target user, and determining the brain wave type corresponding with the acquired brain wave parameter as the brain wave information of the target user, the brain wave information of the target user can be identified quickly and accurately, so this disclosure can increase the play control efficiency.

As shown inFIG. 14,FIG. 14is a block diagram showing a play control apparatus according to another exemplary embodiment of this disclosure. The first determining sub-unit615may include a first retrieving sub-unit6151based on the embodiment shown inFIG. 13.

The first retrieving sub-unit6151is configured to retrieve the brain wave type corresponding with the acquired brain wave parameter from a first preset relationship table which records corresponding relationships between different brain wave parameters and brain wave types.

When this embodiment of this disclosure is applied, the type of the brain wave can be determined quickly through a first preset relationship table which records corresponding relationships between different brain wave parameters and brain wave types, so this disclosure can increase the play control efficiency.

As shown inFIG. 15FIG. 15is a block diagram showing a play control apparatus according to another exemplary embodiment of this disclosure. The acquiring unit61may include a second parameter acquiring sub-unit616, a third parameter acquiring sub-unit617and a second determining sub-unit618based on the embodiment shown inFIG. 6.

The second parameter acquiring sub-unit616is configured to acquire at least one brain wave parameter of the frequency, the amplitude and the waveform from the target user.

The third parameter acquiring sub-unit617is configured to acquire at least one physiological parameter of the age, the gender and the health state from the target user.

The second determining sub-unit618is configured to determine the brain wave type corresponding with the acquired brain wave parameter and the acquired physiological parameter as the brain wave information of the target user.

When this embodiment of this disclosure is applied, by acquiring at least one brain wave parameter of the frequency, the amplitude and the waveform from the target user, acquiring at least one physiological parameter of the age, the gender and the health state from the target user, and determining the brain wave type corresponding with the acquired brain wave parameter and t acquired physiological parameter as the brain wave information of the target user, the brain wave information of the target user can be identified quickly and accurately, so this disclosure can increase the play control efficiency.

As shown inFIG. 16,FIG. 16is a block diagram showing a play control apparatus according to another exemplary embodiment of this disclosure. The second determining sub-unit618may include a second retrieving sub-unit6181based on the embodiment shown inFIG. 15.

The second retrieving sub-unit6181is configured to retrieve a brain wave type corresponding with the acquired brain wave parameter and the acquired physiological parameter from a second preset relationship table which records corresponding relationships among different brain wave parameters, physiological parameters and brain wave types.

When this embodiment of this disclosure is applied, the type of the brain wave can be determined quickly through a relationship table which records corresponding relationships among different brain wave parameters, physiological parameters and brain wave types, so this disclosure can increase the play control efficiency.

As shown inFIG. 17,FIG. 17is a block diagram showing a play control apparatus according to another exemplary embodiment of this disclosure. The controlling unit63may include a play-continuing sub-unit631, a play-stopping sub-unit632, a prompt outputting sub-unit633and a sound volume reducing sub-unit634based on the embodiment shown inFIG. 6.

The play-continuing sub-unit631is configured to continue playing preset data, if the brain wave information is the type identification of a β wave or an α wave.

The play-stopping sub-unit632is configured to stop playing the preset data, if the brain wave information is the type identification of a δ wave

The prompt outputting sub-unit633is configured to output prompt information for changing the preset data, if the brain wave information is the type identification of any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave.

The sound volume reducing sub-unit634is configured to reduce a play sound volume of the preset data, if the brain wave information is the type identification of any of a θ wave, a hump wave, a K-complex wave and a sleep spindle wave.

When this embodiment of this disclosure is applied, by executing different play control for different types of brain waves, this disclosure can improve the flexibility of play control.

As shown inFIG. 18,FIG. 18is a block diagram showing a play control apparatus according to another exemplary embodiment of this disclosure. The controlling unit63may include a command generating sub-unit635and a command sending sub-unit636based on the embodiment shown inFIG. 6.

The command generating sub-unit635is configured to generate a control command corresponding with the brain wave information.

The command sending sub-unit636is configured to send the control command to an associated play device to trigger the play device to execute play response corresponding with the brain wave information.

If the brain wave information is the type identification of a δ wave, the control command is configured to stop playing preset data.

If the brain wave information is the type identification of any of a θ wave, a hump, a K-complex wave and a sleep spindle wave, the control command is configured to output prompt information for changing the preset data; or

if the brain wave information is the type identification of any of a θ wave, a hump, a K-complex wave and a sleep spindle wave, the control command is configured to reduce the play sound volume of the preset data.

When this embodiment of this disclosure is applied, by generating a control command corresponding with the brain wave information and sending the control command to an associated play device to trigger the play device to execute play response corresponding with the brain wave information, this disclosure can execute play control for different play devices.

With respect to the apparatus in the above embodiments, the specific manners for performing operations for individual modules therein have been described in detail in the embodiments regarding the steps of the play control method, which will not be elaborated herein.

It is noted that the various modules, units and components in the present disclosure can be implemented using any suitable technology. In an example, a module can be implemented using integrated circuit (IC). In another example, a module can be implemented as a processing circuit executing software instructions.

Since the apparatus embodiments substantially correspond to the method embodiments, similar parts of the method embodiments may be referred to for the apparatus embodiments. The above apparatus embodiments are illustrative only. The units described as separate members may be or may not be physically separated. The members described as units may be or may not be physical units, may be located at the same place or may be distributed in multiple network units. The objectives of the solutions of this disclosure may be realized by selecting some or all of the modules according to the actual needs. The above can be understood and implemented by those skilled in the art without any inventive work.

Accordingly, this disclosure also provides a terminal, comprising: a processor; and a memory storing instructions executable by the processor, wherein the processor is configured to: acquire brain wave information of a target user; and execute play control corresponding with the brain wave information.

FIG. 19is a schematic diagram of a play control apparatus1900according to an exemplary embodiment. For example, the apparatus1900may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a gaming console, a tablet, a medical device, exercise equipment, a personal digital assistant or the like.

Referring toFIG. 19, the apparatus1900may include one or more of the following components: a processing component1902, a memory1904, a power component1906, a multimedia component1908, an audio component1910, an input/output (I/O) interface1912, a sensor component1914, and a communication component1916.

The processing component1902typically controls overall operations of the apparatus1900, such as the operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component1902may include one or more processors1920to execute instructions to perform all or part of the steps in the above described methods. Moreover, the processing component1902may include one or more modules which facilitate the interaction between the processing component1902and other components. For instance, the processing component1902may include a multimedia module to facilitate the interaction between the multimedia component1808and the processing component1902.

The memory1904is configured to store various types of data to support the operation of the apparatus1900. Examples of such data include instructions for any applications or methods operated on the apparatus1900, contact data, phonebook data, messages, pictures, video, etc. The memory1804may be implemented using any type of volatile or non-volatile memory devices, or a combination thereof, such as a static random access memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic memory, a flash memory, a magnetic or optical disk.

The power component1906provides power to various components of the apparatus1900. The power component1906may include a power management system, one or more power sources, and any other components associated with the generation, management, and distribution of power in the apparatus1900.

The audio component1910is configured to output and/or input audio signals. For example, the audio component1910includes a microphone (“MIC”) configured to receive an external audio signal when the apparatus1900is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may be further stored in the memory1904or transmitted via the communication component1916. In some embodiments, the audio component1910further includes a speaker to output audio signals.

The sensor component1914includes one or more sensors to provide status assessments of various aspects of the apparatus1900. For instance, the sensor component1814may detect an open/closed status of the apparatus1900, relative positioning of components, e.g., the display and the keypad, of the apparatus1900, a change in position of the apparatus1900or a component of the apparatus1900, a presence or absence of user contact with the apparatus1900, an orientation or an acceleration/deceleration of the apparatus1900, and a change in temperature of the apparatus1900. The sensor component1914may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor component1914may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component1914may also include an accelerometer sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component1916is configured to facilitate communication, wired or wirelessly, between the apparatus1900and other devices. The apparatus1900can access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof. In one exemplary embodiment, the communication component1916receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component1916further includes a near field communication (NEC) module to facilitate short-range communications. For example, the NEC module may be implemented based on a radio frequency identification (RFID) technology, an infrared data association (IrDA) technology, an ultra-wideband (UWB) technology, a Bluetooth (BT) technology, and other technologies.

In exemplary embodiments, there is also provided a non-transitory computer-readable storage medium including instructions, such as included in the memory1804, executable by the processor1920in the apparatus1900, for performing the above-described methods. For example, the non-transitory computer-readable storage medium may be a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disc, an optical data storage device, and the like.