Abstract:
A hand-held mobile communication device, such as smart telephone, alone or in protective case, incorporating sensors and signal conditioning modules for measuring signals from external sources of electromagnetic radiation (EMR) in different spectral ranges. These include detector monitoring EMR that pose potential health hazards or may interfere with various electronic devices. Other integrated EMR sensor is a photodiode for the ultraviolet detection to monitor the user&#39;s sun exposure and a thermal infrared detector for non-contact measurement of temperature of humans or inanimate objects. This detector in combination with a digital camera and a pattern recognition signal processing allows accurate non-contact measuring temperatures at specific location.

Description:
This application is a continuation of the non-provisional U.S. patent application Ser. No. 13/303,054 filed on 22 Nov., 2011, now U.S. Pat. No. 8,275,413, that claims the priority of provisional U.S. patent application Ser. No. 61/627,070 filed on 17 Sep., 2011, and the currently pending PCT patent application No. PCT/US12/51676 filed on 21 Aug. 2012. 
     The disclosures of the prior related applications and the U.S. patent are fully incorporated by reference herein. 
     BACKGROUND OF THE INVENTION 
     a. Field of the Invention 
     The present invention relates generally to wireless communication devices. More specifically, this invention relates to mobile communication devices that incorporate additional sensors and detectors. 
     b. Description of Prior Art 
     Most wireless communication devices (cellular or mobile telephones, e.g.) incorporate additional non-communication features, such as imaging (photo and video), personal planners, games, etc. There are numerous inventions that attempt to include among these additional features the measurement and/or monitoring of external signals such as temperature. These inventions are exemplified by the following selection that is incorporated herein as references. 
     U.S. Pat. No. 7,947,222 issued to Bae et al. teaches compensation for ambient temperature for measuring response of a biosensor. US patent Publication No. 2007/0129105 issued to Shen describes a contact ear thermometer having an elongated ear probe embedded in a mobile communication device. These and other inventions demonstrate that wireless communication devices are in fact multi-function instruments whose purpose is much broader than just transmitting and receiving acoustic signals. There are numerous additional functions that such devices can perform by utilizing a synergy between their components and additional sensors. These sensors, among many, may include sensors for monitoring electromagnetic radiation (EMR) originated from external sources. The EMR forms an electromagnetic field (EMF). Spectrum of the field may be extremely broad ranging from constant levels of electric and magnetic fields to alternating EMF of very long wavelengths approximately from 6·106 m (corresponding to frequency of 50 Hz) to UV and further to X-rays. The present invention relates to three rather broad portions of the EMF spectrum. One is the portion having wavelengths from approximately 5·106 m to 2.5 cm, that is from very low frequency of 50 Hz to very high frequency of about 12 GHz that embrace EMRs emanated from high-voltage power lines, electric motors and generators, fluorescent lights, wireless routers and cellular telephones. These EMF create the so-called low and radio-frequency EMF pollution that may have negative effects on humans and interfere with electronic equipment. Humans subjected to strong EMF may have increased risk of developing serious diseases, such as cancer, loss of reproductive functions, etc. Electronic equipment subjected to the interfering EMF may malfunction. 
     Another portion of the spectrum that is also a subject of this invention is the mid and far infrared spectral range from about 3·10-6 to 15·10-6 m that is called a thermal infrared EMR. The non-contact infrared thermometers operate in this range. 
     And the third portion of the EMR spectrum is ultraviolet (UV) having wavelengths in the range of 200·10-9 to 400·10-9 m. A UV monitoring may be useful for the health reasons to measure the level of personal exposure to sun radiation. The free-standing UV monitors are known in art as exemplified by the U.S. Pat. No. 3,971,943 issued to Jeunehomme et al. that is incorporated herein as a reference. 
     There are numerous patents related to non-contact temperature measurements by means of thermal (infrared) radiation passively emanating from a surface of an object. Typical sensors that operate in the infrared (IR) range of thermal radiation are either thermopiles or pyroelectrics as exemplified by the industrial non-contact thermometer of U.S. Pat. No. 4,986,672 issued to Beynon and the medical infrared thermometer of U.S. Pat. No. 4,854,730 issued to Fraden. When temperature is measured from the surface (skin) of a human subject, it is desirable to infer from it the inner body (core) temperature for the diagnostic purposes. The algorithm for computing the core body temperature from the body surface temperature is known in art and is exemplified by the U.S. Patent publication No. 2007/0282218 issued to Yarden. All above patents and publication are incorporated herein as references. 
     When temperature is measured remotely by means of the EMR in the IR range, it is important to find a correct location on the surface of the object where the temperature should be measured, and an optimal distance from that location to the IR sensor. One known method for finding the desired distance is to incorporate a proximity sensor into an IR thermometer as exemplified by the U.S. Pat. No. 7,611,278 issued to Hollander et al. that is incorporated herein as a reference. However, the cost and complexity of incorporating a proximity sensor in a mobile communication device together with inability of the proximity sensor to determine the correct position of the IR sensor make it desirable to find an alternative solution. 
     Detection of thermal electromagnetic radiation for creating thermal images of the objects whose temperatures differ from the surroundings is well known in art. Thermal imaging cameras are exemplified by the U.S. Pat. No. 7,977,634 issued to Thiele et al. that is incorporated herein as a reference. Thermal images can be used in many applications, including medical (detection of subcutaneous inflammations, e.g.), scientific research, security, surveillance, etc. 
     Another EMR measurement system that is subject of the present invention is used for monitoring the EMF pollution. The pervasive nature of EMF in modern life, and particularly in workplaces and at home causes legitimate concerns about potential, particularly long term, health effects of EMR. Devices that emit this radiation include computers, computer terminals, computer tablets, cellular phones, routers, televisions, various Wi-Fi and Bluetooth devices. The exposure of children and young adults to mobile telephones and mobile electronic tablets reached such a level that in several countries there is either adopted or proposed legislation limiting use of such devices by children. On the other hand, the ubiquitous nature of mobile communication devices makes them the most natural candidates for measuring the levels of ambient EMR. While there are numerous specialized devices designed to gauge the level of EMF, the mobile communication devices already possess most of the needed components that would allow to perform yet another useful function: to measure and alert the user of potentially dangerous levels of surrounding EMF and simultaneously locate the places in her workspace or living quarters where such levels are lower, thus allowing the user to make intelligent decisions about placement of electronic devices both at work places and at home. Patent Publication US 2010/0125438 issued to Audet, incorporated here as a reference, teaches a method of measuring levels of EMF energy and storing a history of such measurements for each user with potential application to health care. An apparatus, system and a user graphical interface is taught, together with a communication system. Therefore this invention requires a special free-standing apparatus that may be expensive and inconvenient to carry around. U.S. Pat. No. 5,592,148 issued to Morales teaches a ranging device that issues a warning output of the EMF signal generated by various devices. Most of the key components for reliable detection of a broad-band EMF signal by a free-standing apparatus are know in art as exemplified by the U.S. Pat. No. 6,906,663, issued to Johnston incorporated here as a reference, that teaches an antenna, power meter, signal equalizer and other components. 
     Therefore, a goal of the present invention is to combine functionalities of the built-in digital photo camera, a non-contact thermometer and a pattern recognition algorithm for guiding the user for a proper positioning of the mobile communication device, thus insuring the optimal conditions for obtaining a reliable temperature measurement. 
     Another goal of this invention is to utilize the wireless capabilities of a mobile communication device for detecting and measuring the EMF signals for the purpose of assessing levels of ambient radiation. 
     And another goal of this invention is to integrate a UV detector with a mobile communication device. Further goals of the invention will be apparent from the foregoing description of preferred embodiments. 
     SUMMARY OF THE INVENTION 
     A mobile communication device incorporates one or more sensing means for receiving and processing the EMF signals of different spectral ranges. Different spectral ranges require different types of sensors. For detecting the ambient electro-magnetic radiation pollution in a low and radio frequency ranges an antenna is employed, possibly the same antenna that is used for a mobile communication. For the UV range a special photo-diode is used, while for a non-contact temperature measurement the electro-magnetic radiation is detected by a thermopile. When the electro-magnetic radiation reaches a predetermined threshold, an alarm is generated to alert the user. A digital camera of the mobile phone continuously obtains images of the external object, such as a human face, processes the images for identifying facial landmarks and guides the user towards the optimal aim of the thermal radiation sensor at the pre-identified area of the face in relation to the landmarks. The obtained thermal signal is processed by the microprocessor (computer) for computation (determination), display and transmission of information, such as temperature, e.g. Alternatively, the digital camera may function as a “viewfinder” for aiming the EMF detector. 
    
    
     
       BRIEF DESCRIPTION OF DRAWINGS 
         FIG. 1  shows the back (left) and front (right) sides of a phone with an IR and video lenses. 
         FIG. 2  illustrates a cross-sectional view of the cell phone with an IR and video sensors. 
         FIG. 3  shows a cross-sectional view of the thermal IR sensor. 
         FIG. 4  shows three photographic images for three distances from the subject: too far (A), too close (B) and normal (C). 
         FIG. 5  illustrates positioning of IR sensor field of view over the subject&#39;s eye. 
         FIG. 6  shows part of a building with the field of view of a thermal IR sensor. 
         FIG. 7  illustrates the photographic image of the building structure with the temperature indication prepared for transmitting via the communication link. 
         FIG. 8  shows an image of the subject superimposed on an array thermal IR sensor fields of view. 
         FIG. 9  is a simplified block-diagram of a mobile telephone with IR sensor. 
         FIG. 10  depicts an algorithm for the digital image processing and landmark recognition. 
         FIG. 11  shows a target on the image of the subject. 
         FIG. 12  illustrates a block-diagram of the EMF detecting module. 
         FIG. 13  shows a multi-pixel thermal radiation sensor with a focusing lens. 
     
    
    
     DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS 
     The central problem in non-contact temperature measurement is finding a location on the surface of the subject or object that is best suited for such measurement that is free from various obstructions and occlusions such as clothing, hair, decorations, etc. Furthermore, due to limitations of the optical components, the non-contact IR sensor should be positioned within a specific range of distances from the surface of the object where temperatures are measured. On the human face, these locations include the area of the temple within about 1 cm of the corner of the eye and the area of the forehead above the root of the nose between the eyes. The optimal range of distances between the surface of the skin and the IR sensor is between 2 and 10 cm. The present invention utilizes the imaging capabilities of a camera-equipped communication device to assist in accurate positioning of the sensor embedded into the communication device. The invention provides the device&#39;s operator with a sound and visual indicators signaling by way of feedback the optimal position of the embedded sensor for taking temperature measurement or detecting other electromagnetic radiation. This feedback is suitable for both taking the operator&#39;s own temperature as well as taking the temperature of another person.  FIG. 1  illustrates the back  3  and front  2  sides of the mobile communication device  1 . The lens  6  of the digital photographic camera is positioned alongside with the lens  7  of an IR sensor. The phone  1  contains a display  4  and either hard or soft keys  5  positioned on the monitor  12 . The speaker  11  can provide an audio feedback either by spoken voice or tone. The antenna  30  (shown by a dotted line) typically is positioned inside the housing (enclosure) but in some cases may protrude outwardly (not shown). 
     The mobile communication device, among other components incorporates a non-contact temperature module. The module includes the infrared (IR) temperature detector, optical elements, reference temperature sensor and other relevant components known in art. 
       FIG. 9  is a block diagram of the wireless communication device that incorporates the present invention, specifically a non-contact IR thermometer. Power supply  27  is a source of energy for all components of the device. The microprocessor  26  (computational means that may include memory) controls all external components and performs necessary computation and image pattern recognition according to the algorithms described below. IR sensor  15  is appended with a signal conditioning circuit  25  whose purpose is to match the sensor&#39;s,  15 , output signal format with the input format of the microprocessor  26 . Imaging sensor  16  is part of the imaging circuit. Monitor  12  displays visual information, while the speaker  11  provides audible feedback. The wireless communication module  29  that generally incorporates radio transmitter/receiver along with the antenna  30  performs wireless communication. Other essential components (like microphone, e.g.) that are part of the communication device but not required for functions of the current invention, are not shown for clarity. 
       FIG. 2  shows two sensors: the IR sensor  15  and the photo imaging digital sensor  16  positioned on the circuit board  14  inside the phone enclosure (housing, e.g.)  13 . Note that the IR lens  7  is situated substantially flash with the surface of the enclosure  13 . As a rule, the angle of view  18  of the imaging sensor  16  is much wider than the angle of view  17  of the IR sensor  15 . Thus the field of view  70  of the IR sensor  15  is much smaller than the field of view  71  of the imaging sensor  16 . The smaller field of view  70  is part of the larger field of view  71 . For example, the angle of view  18  may be in the range of 90°, while the angle of view  17  is between 0 and 15°. 
     Terms “sensor” and “detector” are used herein interchangeably.  FIG. 3  illustrates a cross-sectional view of an IR sensor  15 . It incorporates a thermopile element  21  positioned inside the metal housing  19 . A reference temperature sensor  22  monitors temperature of the substrate  20 . Note that the angle of view  17  is controlled by the IR focusing lens  7  that may be fabricated from silicon or germanium, preferably coated with the anti-reflective (AR) coating. The lens  7  focusing properties are achievable either by forming at least one convex surface or by etching into the lens the Fresnel grooves. An IR lens  7  is fabricated of a material suitable for operating in the mid and far infrared spectral ranges. Suitable materials are silicon and germanium. In some embodiments, instead of lens  7 , a reflective focusing system may be employed. An example of such is a curved (parabolic) mirror. These design options are well known in art and beyond the scope of this disclosure and thus not discussed herein in detail. The IR (thermal radiation) sensors are also well known in art (see, for example, J. Fraden “ Handbook of modern sensors”,  4th ed, Springer Verlag, 2010, incorporated herein as a reference). To determine the object or subject surface temperature, the temperature is computed from signals generated by the IR sensing thermopile element  21  and ambient reference sensor  22 . 
     While temperature of the human skin differs significantly from the inner (core) temperature of the human body, there are well known in the art methods for conversion of the skin temperature to the inner temperature of the body (e.g. U.S. Patent publication No. 2007/0282218 issued to Yarden). Therefore, these methods are not described here. 
     In the preferred embodiment of the present invention, images of the face of the subject of temperature measurement are taken by the communication device&#39;s camera as the operator (user) moves the camera towards the object&#39;s face and across the face. These images can be taken with a pre-defined frequency, e.g., 5 frames a second or 10 frames a second or any other frequency that insures that at least one image is obtained when the embedded infrared sensor is within 2-10 cm distance from the temple or forehead. A conventional IR sensor contains a single sensitive pixel (thermopile  21  in  FIG. 3 ) that collects IR signal from the surface whose optical image is formed by the multi-pixel photographic sensor  16 . 
     The present invention teaches how to achieve aiming of the IR temperature sensor at a correct location on the surface of the object together with an optimal distance between the sensor and the surface of the object at which the temperature should be taken. This can be accomplished by two methods that are described in detail below. One method is based on automated, computer assisted, guidance of the user aiming the IR temperature sensor and the other method is based on a manual guidance. 
       FIG. 4  shows the subject&#39;s face with the preferred IR spot  24  being located near the eye  23 . This spot  24  is the area of the skin from which the IR signal should be collected for better accuracy of measurement. The eye  23  has a distinct shape and its size varies only slightly over the human population. Thus, optical images of facial features such as eye  23  can serve as “landmarks” that can guide the feedback system to help in correctly aiming the IR lens  7  toward the preferred location on the skin surface. Processing of the face image allows the measurements taken at the optimal range of distances from the skin.  FIG. 4-A  shows an image of a human face taken from too large a distance for accurate measurement of the temperature due to interferences from the stray elements such as hair, clothing, decorations, etc. which enter the field of view  38  of the IR sensor. 
       FIG. 4-B  illustrates an image taken too close to the skin. While a very short distance under ideal conditions would not result in the increased measurement error, there is a possibility of touching the skin by the mobile communication device and thus cooling its surface. That may cause an excessively low temperature reading.  FIG. 4-C  shows an image formed from an optimal distance to the skin surface where the IR field of view  38  covers substantially the preferred IR spot  24  with minimal inclusion of stray elements. The photo image from the digital image sensor provides the necessary pattern recognition features to determine both the optimal superposition of the IR field of view  38  on the face image  35  ( FIG. 5 ), and the correct distance from the IR sensor to the skin.  FIG. 5  illustrates the correct size  39  of the eye  36  in the image, while dimensions  40  and  41  designate the distances from the center of the IR field of view  38  to the eye  36 . 
     Computer-Assisted Aiming of IR Sensor 
     A key component of the present invention is the combined use of both the IR and the photo sensors in a manner that assures that the IR measuring location is automatically found by the system from the optical images of the subject&#39;s face. This assisted guidance is especially beneficial when the user takes temperature of herself due to her limited ability to observe the display  4  ( FIG. 1 ), and is accomplished by finding landmarks on the human face that can be used for automated guidance of the IR sensor. 
     Locating features (“landmarks” in our terminology herein) present in the images of human faces can be accomplished by various methods known in art, e.g.: www.cs.princeton.edu/courses/archive/fall08/cos436/FinalReports/Eye_Gesture_Recognition.pdf. incorporated as a reference herein. 
     Another method that can be used for frontal eye detection was published in P. Wang, M. B. Green, Q. Ji, and J. Wayman “Automatic Eye Detection and Its Validation.” Computer Vision and Pattern Recognition—Workshop, 2005, CVPR Workshops, IEEE Computer Society, Conference on, Vol. 03, 23-25 Jun. 2005, pp 164-172, incorporated as a reference herein. 
     Here we describe the template matching or cross-correlation method of recognition as follows. 
     The color images from a digital camera are suitably pre-processed to provide binary (bitonal, black and white) images that allow a faster execution time of the subsequent algorithms.  FIG. 10  illustrates a basic flowchart of a recognition algorithm for landmarks such as eyebrows or eyelids. In the image pre-processing step, the image is first run through an edge detector such as Canny edge detector (Canny J., “Finding Edges and Lines in Images”, MIT AI Laboratory Technical Report, 720, June, 1983 incorporated here as a reference), resulting in a binary image. ( FIG. 10 , step  53 ). Once this pre-processed image is obtained, the system searches for certain landmarks in this image. In the frontal image of the subject&#39;s face, these landmarks could be certain facial features such as the eyebrows, the iris with the pupil of both eyes, or the eyelids of the subject. In the profile image, the eyelids, the iris with the pupil and the eyebrows are sought for one eye. In the case of a profile image of the face, only a partial view of facial features is available the fact that suits the template matching approach. 
     While the template matching approach can utilize various templates, there are computational advantages in using the templates of elliptical shape as described in D. A. Pintsov, “Invariant pattern recognition, symmetry and Radon transforms”, J. of Opt. Soc. of America, A, 1989, vol. 6, No. 10, pp. 1544-1554, incorporated as a reference herein. 
     The described facial landmarks can be approximated by elliptical templates with variable major and minor axes since these landmarks have the shapes of partial ellipses. The ranges of axes lengths are found from the size of the corresponding facial features and the resolution of the camera  FIG. 10 , Step  55 . The use of elliptic templates of elastic shape (see D. A. Pintsov, as above) is illustrated in  FIG. 10 , step  57 . 
     The template matching via cross-correlation with an elliptic template with axes of varying sizes locates the partial eyebrows and the contour of the eye (upper and lower eyelids) as depicted in  FIG. 10 , step  57 , since coordinates of these landmarks are local maxima of the cross-correlation function (see D. A. Pintsov, as above). As observed above, the parameters of this template (major and minor axes) are restricted to the admissible range of sizes commensurate with the range of sizes of the corresponding facial features. Depending on the power of the microprocessor employed in the communication device, it is desirable to locate more than one feature (both the eyebrow and the contour of the eye). If the values of the local maxima exceed the predetermined thresholds that reflect the minimal acceptable number of pixels lying on the eyebrows and the visible contour of the eye, the system accepts the found features (leading to step  63  in  FIG. 10 ), otherwise the landmarks are not found and the input image of the face is rejected ( FIG. 10 , step  61 ). Finally, as in step  63 ,  FIG. 10 , the calculated positions of the eyebrow and the eyelids must be consistent since the eyebrow must be located above the eye, which the system verifies. 
     Partial ellipses  60  and  50  found by the template matching algorithm are shown in  FIG. 5  superimposed on the actual contours of the eyebrow  37  and the eye  36 , respectively. Use of more than one ellipse increases reliability of the recognition. 
     Since the average dimensions of these facial features are known together with the parameters of the camera lens of the mobile device (resolution, focal length, etc.) the size of the detected facial features permits finding the optimal distance to the object for a more accurate temperature measurement. When the detected feature size is smaller than the appropriate size of the image of a facial feature under known camera resolution, the distance is too large. Similarly, when the feature is larger than expected with the known camera resolution, the distance is too short. When the detected and the expected sizes are close to one another, the distance is nearly optimal. 
     Another feature of the present invention is its ability of measuring the surface temperature of inanimate objects. Examples of such objects are the building structures and machinery having non-reflective surfaces in the IR spectral range of 3-20 micrometers.  FIG. 6  illustrates a building door where the IR field of view  33  is superimposed on the area of interest whose temperature is to be measured. The resulting photo image can be combined with the computed temperature  34  ( FIG. 7 ) for wireless transmission over the communication line to a remote location. The methods for calculating temperatures of human body and of non-metallic surfaces of inanimate objects are different and well known in the art and thus can be employed in the corresponding operating modes of the device. To switch between the human and non-human operating modes, a keyboard  5  can be used. 
     Once the aim of the IR sensor (the calculated position of the sensor) is determined, voice or image guidance from the device&#39;s output components (a speaker and/or display) assists the user in positioning the device for taking accurate temperature measurements. This assistance instructs the user how to move the mobile communication device: closer, further, left, right, up, down, etc. When the correct location is detected, a temperature reading is automatically taken, surface temperature is computed and shown on display  4 , or spoken via the speaker  11  ( FIG. 1 ), or transmitted by the wireless communication module  29  ( FIG. 9 ). 
     In another embodiment of the present invention, a more complex multi-pixel IR sensor can be employed instead of a single-pixel IR sensor. In this case, the thermopile  21  ( FIG. 3 ) can be divided into a plurality of areas (IR pixels) that will generate signals corresponding to adjacent locations on the measured surface. Such a sensor is illustrated in detail in  FIG. 13  that shows a metal header  90  that carries a substrate  91  supporting a membrane  92 . Multiple thermal sensitive pixels  93  are positioned on the membrane  92  and respond to thermal infrared beam  96  that is focused by the optical element (a lens, e.g.)  95  on each individual pixel. Signals from multiple pixels create a thermal image of the object&#39;s surface.  FIG. 8  illustrates a multi-pixel IR image with the individual pixels  42  (total 12 in this example) that are superimposed onto the image of the subject&#39;s face. After the landmark (an eye  36 , e.g.) is identified automatically, signals from the superimposing IR pixels  43  will be used for measuring and computing temperature. Other spurious pixels  37  that are either at a wrong location or containing obstructions, such as an eyebrow or part of nose, are excluded from computation. 
     Manual Aiming of IR Sensor 
     When the display of the mobile device is visible by the operator measuring the temperature (the user), which is the case when the operator takes the temperature of another subject rather than of herself, the following embodiment of the present invention is advantageous for ease of implementation. The device&#39;s display has a designated area that is demarcated by a special graphical element. This element is a circular or rectangular target  74  illustrated in  FIG. 11 . Other shapes may be employed. The target  74  substantially coincides with the IR sensor&#39;s field of view  70  ( FIG. 2 ) and thus the display serves as a viewfinder. The operator manually aims the device at the object (e.g. at the head  73 ). When the target  74  is superimposed on the area of an object selected for temperature measurement and the target  74  approximately encompasses an outline of the selected area, the IR sensor in terms of a location and distance is properly positioned for taking the temperature measurement. The net result is the same as with the computer-assisted method of aiming the IR lens at the optimal position  38  ( FIG. 5 ) of the IR field of view, for example, on the subject temple. 
     Yet another feature of the present invention lies in the ability of the microprocessor to record and store the temperature measurements over a desired period of time and transmit via communication abilities of the device any desired data to a medical facility or personnel. This assembly of data can be plotted on the display in form of a time chart. If the communication device is equipped with a Global Positioning System (GPS) another advantage the present invention derives from using this GPS is locating the nearest to the user pharmacy and directing the user to this pharmacy to obtain the necessary drug if the temperature level warrants such an action, that is when the measured temperature exceeds a pre-defined threshold stored in the computational means. 
     In another application, a thermal image formed by a multi-pixel thermal radiation sensor, such as illustrated in  FIG. 13 , can be processed by the processor  26  and sent to display  4  as a black-and-white or false colors image representing temperature distribution within the field of view  70 . Thus, the mobile communication device functions as a thermal imaging camera. 
     In case when temperature is taken from a portion of a human body, a head, e.g., the inner body temperature can be computed from the skin temperature by employing one of known in the art algorithms. 
     UV Monitoring 
     A personal UV monitor may be useful for managing exposure to sun, for example for beach goers. For the purpose of monitoring levels of the UV radiation, a separate sensor sensitive in the range can be installed into the mobile communication device, however, its location with respect to the photographic camera is not as critical as for the IR sensor. It is important that the sensor&#39;s window can be exposed to the outside. This window should be fabricated from a material substantially transparent in the UV spectral range. Examples of the window materials are compressed inorganic salts of alkaline earth metals, such as KBr. The UV sensor in effect is a photo-detector whose sensitivity in enhanced in the UV region. A signal received from the UV sensor should be digitized, its magnitude computed and integrated over a predetermined time by the microprocessor  26 . This allows monitoring a cumulative effect of the sun exposure. A continuous integration however my not be practical when the UV sensor is incorporated with a mobile communication device that is not exposed to sun over the same period as the user. In other words, the cell phone is not laying under the sun while the user is sunbathing. This can be resolved by taking several samples of the sun UV radiation, for example, at the beginning, middle and end of exposure. Then the computational means (microprocessor  26 ) can interpolate the UV levels between the sample points (and can even extrapolate beyond a specific point) and compute an estimated integral level of the UV exposure. An alarm may be activated when the cumulative level of exposure reaches a pre-determined threshold stored in the computational means. The instantaneous samples of the UV radiation may be used by a computational means for suggesting a sufficient grade of the UV protection lotion or duration of the exposure. 
     EMF Pollution Monitoring 
     Another important function of a mobile communication device that can be accomplished according to the present invention is detection of ambient EMF intensity in the low frequency (LF) and radio frequency (RF) ranges. This embodiment uses either a separate antenna or takes advantage of the antenna that is always present in the mobile device. The antenna serves as a sensor of the EMF radiation when not used for communication.  FIG. 9  shows the following components used for detecting EMF: the antenna switch  81  and the EMF power measurement module  82 , both being controlled by the microprocessor  26  which is a computational means. When the mobile communication device is not in a signal transmission state and antenna  30  doesn&#39;t radiate, it can be used for a broadband reception of external LF and RF EMF signals. On command from microprocessor  26 , switch  81  directs receiving EMF signals to the power measurement module  82  that feeds microprocessor  26  with a digital signal representing the EMF magnitude in vicinity of antenna  30 . The microprocessor compares the magnitude with a pre-determined threshold and if the magnitude exceeds such a threshold, an alarm is optionally generated by an output device. Examples of such a device are the speaker  11  and vibrator  80 . A visual display (monitor  12 ) can show a numerical value of the EMF magnitude.  FIG. 12  illustrates structure of the power measurement module  82  that receives RF signal from antenna via the switch  81 . This signal is generally very weak and may have shape either of continuous or pulsed noise-like voltage  87 , or, alternatively a more specific shape, like a 60 Hz sine wave, e.g. Amplifier  83  brings the received signal to a higher level  88  suitable for filtering and rectification by a signal conditioner  84 . The analog signal  89  is fed to the analog-to-digital converter  85  that outputs digital stream  86  for further processing by the microprocessor  26 . 
     While the present invention has been illustrated by a description of various preferred embodiments and while these embodiments have been described in some detail, it is not the intention of the Applicants to restrict or in any way limit the scope of the appended claims to such detail. Additional advantages and modifications will readily appear to those skilled in the art. The various features of the invention may be used alone or in numerous combinations depending on the needs and preferences of the user. This has been a description of the present invention, along with the preferred methods of practicing the present invention as currently known. However, the invention itself should only be defined by the appended claims.