Patent application EP17001281A (EP), filed 2017-07-25
Publication number: EP3404576A1
Title: DETECTION OF THE LOSS OF A MOBILE TERMINAL
Abstract: A mobile terminal includes a wireless communication unit configured to perform wireless communication with an artificial intelligence device, an artificial intelligence unit configured to recognize a loss state of the mobile terminal if information included in a signal received from the artificial intelligence device indicates the loss state of the mobile terminal to generate a control signal for switching an operation mode of the mobile terminal according to the recognized loss state, a controller configured to set the operation mode of the mobile terminal to a loss mode for restricting use of the mobile terminal according to the generated control signal.
IPC codes: G06F  21/    31            A I
G06F  21/    88            A I
H04M   1/ 72457            A I
H04M   1/ 72463            A I
H04W   4/    00            A I
H04W  48/    04            A I
H04W  88/    02            A I
H04W   4/    50            A I
Claims: number: 1
text: A mobile terminal (100) comprising:
number: 2
text: The mobile terminal (100) according to claim 1, wherein the artificial intelligence unit (130) is configured to recognize the loss state of the mobile terminal (100), if the information included in the signal is a text message received from the pre-registered artificial intelligence device and the text message includes text indicating the loss state.
number: 3
text: The mobile terminal (100) according to claim 1, wherein the artificial intelligence unit (130) is configured to recognize the loss state of the mobile terminal (100), if the information included in the signal includes voice of a user of the mobile terminal (100) and the voice includes a command indicating the loss state.
number: 4
text: The mobile terminal (100) according to claim 3, wherein the artificial intelligence unit (130) is configured to recognize the loss state of the mobile terminal, upon determining that the voice is pre-stored user voice, using features extracted from a waveform of the voice.
number: 5
text: The mobile terminal (100) according to claim 1, wherein the controller (180) is configured to set the mobile terminal (100) to a lock state, restricts data use of the mobile terminal (100) or switches a power mode of the mobile terminal (100) to a power saving mode, in the loss mode.
number: 6
text: The mobile terminal (100) according to claim 1, wherein the artificial intelligence unit (130) is configured to transmit a point of time when the loss state of the mobile terminal (100) is recognized and loss information indicating a position of the mobile terminal (100) at the point of time when the loss state of the mobile terminal is recognized.
number: 7
text: The mobile terminal (100) according to claim 6, wherein the artificial intelligence unit (130) is configured to transmit the loss information to an artificial intelligence device of another person who most frequently contacts a user of the mobile terminal (100) during a predetermined period.
number: 8
text: A mobile terminal (100) comprising:
number: 9
text: The mobile terminal (100) according to claim 8, wherein the artificial intelligence unit (130) is configured to recognize the loss state based on a position pattern of the mobile terminal (100) and user information of the mobile terminal (100).
number: 10
text: The mobile terminal (100) according to claim 9, wherein the artificial intelligence unit (130) is configured to recognize the loss state of the mobile terminal (100), if the position pattern of the mobile terminal does not match a pre-stored position pattern and a facial image and voice of a user included in the user information is not collected during a predetermined period.
number: 11
text: The mobile terminal (100) according to claim 10,
wherein the wireless communication unit (110) includes a position information module configured to acquire a position of the mobile terminal, and
wherein the mobile terminal further includes:
number: 12
text: The mobile terminal (100) according to claim 11,
wherein the mobile terminal (100) further includes a display unit (151) configured to display a power off screen for turning the mobile terminal (100) off if a command for turning the mobile terminal (100) off is received in a loss mode of the mobile terminal (100),
wherein the artificial intelligence unit is further configured to change a power mode of the mobile terminal (100) to a power saving mode.
number: 13
text: The mobile terminal (100) according to claim 12, wherein the artificial intelligence unit (130) is configured to transmit loss information including a photo of a finder captured by the front camera and a position where the mobile terminal (100) is lost.
number: 14
text: The mobile terminal (100) according to claim 8, wherein the artificial intelligence unit (130) is configured to transmit information on a message or a missed call received from a counterpart to the artificial intelligence device in the loss mode.
number: 15
text: The mobile terminal (100) according to claim 8, wherein the artificial intelligence unit (130) is further configured to, automatically, forwards an incoming call signal received from a counterpart to another pre-registered mobile terminal.
Office action: search_report, dated 2018-11-21
Rejection reasons: novelty_epc_54
Prior art cited: ref_id: US8864847B1
ref_type: patent
severity: background
ref_id: US2004180673A1
ref_type: patent
severity: background
ref_id: US2015235058A1
ref_type: patent
severity: background
ref_id: US2012252411A1
ref_type: patent
severity: background
ref_id: - HUIZHONG HU: "Using a Personalized Machine Learning Approach to Detect Stolen Phones", 8 January 2016 (2016-01-08), XP055437013, Retrieved from the Internet <URL:http://cs.fit.edu/~pkc/theses/hu15.pdf> [retrieved on 20171218]
ref_type: npl
severity: background
ref_id: US2004180673
ref_type: patent
severity: novelty_destroying
ref_id: US2012252411
ref_type: patent
severity: background
ref_id: US8864847
ref_type: patent
severity: novelty_destroying
ref_id: US2015235058
ref_type: patent
severity: background
ref_id: - Huizhong Hu, "Using a Personalized Machine Learning Approach to Detect Stolen Phones", (20160108), URL: http://cs.fit.edu/~pkc/theses/hu15.pdf, (20171218), XP055437013 [A] 1,6-9 * abstract * * Chapter 1,2,3.1 *
ref_type: npl
severity: background
Final disposition: pending (2018-11-21)