Abstract: A device, method and system provide a wellness management process and/or an exercise management process for use with a smartphone or other mobile computing device. Various data about the user is obtained and used for determining and recommending an action or exercise to the user to improve the user's wellness/physique/health. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current physical condition(s), such as health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action or exercise, such as the user's specific physical, health or medical conditions.

Abstract: A method comprising acquiring a plurality of measurements from at least one sensor in a mobile device, determining an activity classification of a user of the mobile device based on the plurality of measurements, acquiring an audio file for the mobile device, wherein the audio file is selected based on the activity classification, and playing the audio file by the mobile device.

Abstract: A method implemented by a mobile device for music recommendation to a user of the mobile device, the method comprising acquiring one or more measurements from at least one biometric sensor to obtain biometric information of the user, determining a music based at least in part on the biometric information, and recommending the music to the user for playing.

Abstract: Embodiments are provided herein for providing biometrics-based music recommendations to users. The biometric-based music recommendations take into account the changing music preferences of users from time to time as their biometrics change, such as due to users wellness states, being in different moods, engagement in different activities, and/or entering different environments. The schemes herein are implemented on user devices equipped or coupled to wearable devices capable of collecting biometrics data from users, such as heart rate, perspiration, and skin temperature data. The biometrics data of a user are collected and then processed into biometrics information. The biometrics information is then classified into a current wellness state of the user. A music recommendation is then provided to the user according to the biometrics information and the current wellness state of the user.

Abstract: A device, method and system provide a wellness management process and/or an exercise management process for use with a smartphone or other mobile computing device. Various data about the user is obtained and used for determining and recommending an action or exercise to the user to improve the user's wellness/physique/health. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current physical condition(s), such as health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action or exercise, such as the user's specific physical, health or medical conditions.

Abstract: A device, method and system provide a wellness management process and/or an exercise management process for use with a smartphone or other mobile computing device. Various data about the user is obtained and used for determining and recommending an action or exercise to the user to improve the user's wellness/physique/health. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current physical condition(s), such as health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action or exercise, such as the user's specific physical, health or medical conditions.

Abstract: A device, method and system processes data about the user for determining and recommending a health/wellness action to the user. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action, such as the user's specific health or medical conditions.

Abstract: A method comprising acquiring a plurality of measurements from at least one sensor in a mobile device, determining an activity classification of a user of the mobile device based on the plurality of measurements, acquiring an audio file for the mobile device, wherein the audio file is selected based on the activity classification, and playing the audio file by the mobile device.

Abstract: A method implemented by a mobile device for music recommendation to a user of the mobile device, the method comprising acquiring one or more measurements from at least one biometric sensor to obtain biometric information of the user, determining a music based at least in part on the biometric information, and recommending the music to the user for playing.

Abstract: A device, method and system provide a wellness management process and/or an exercise management process for use with a smartphone or other mobile computing device. Various data about the user is obtained and used for determining and recommending an action or exercise to the user to improve the user's wellness/physique/health. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current physical condition(s), such as health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action or exercise, such as the user's specific physical, health or medical conditions.

Abstract: A method comprising acquiring a plurality of measurements from at least one sensor in a mobile device, determining an activity classification of a user of the mobile device based on the plurality of measurements, acquiring an audio file for the mobile device, wherein the audio file is selected based on the activity classification, and playing the audio file by the mobile device.

Abstract: A method implemented by a mobile device for music recommendation to a user of the mobile device, the method comprising acquiring one or more measurements from at least one biometric sensor to obtain biometric information of the user, determining a music based at least in part on the biometric information, and recommending the music to the user for playing.

Abstract: A device, method and system provide a wellness management process and/or an exercise management process for use with a smartphone or other mobile computing device. Various data about the user is obtained and used for determining and recommending an action or exercise to the user to improve the user's wellness/physique/health. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current physical condition(s), such as health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action or exercise, such as the user's specific physical, health or medical conditions.

Abstract: Embodiments are provided herein for providing biometrics-based music recommendations to users. The biometric-based music recommendations take into account the changing music preferences of users from time to time as their biometrics change, such as due to users wellness states, being in different moods, engagement in different activities, and/or entering different environments. The schemes herein are implemented on user devices equipped or coupled to wearable devices capable of collecting biometrics data from users, such as heart rate, perspiration, and skin temperature data. The biometrics data of a user are collected and then processed into biometrics information. The biometrics information is then classified into a current wellness state of the user. A music recommendation is then provided to the user according to the biometrics information and the current wellness state of the user.

Abstract: A device, method and system provide a wellness management process and/or an exercise management process for use with a smartphone or other mobile computing device. Various data about the user is obtained and used for determining and recommending an action or exercise to the user to improve the user's wellness/physique/health. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current physical condition(s), such as health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action or exercise, such as the user's specific physical, health or medical conditions.

Abstract: A device, method and system processes data about the user for determining and recommending a health/wellness action to the user. The action determined can be based on: (1) current biometric and/or motion data about the user (from the sensors), and (2) current health/medical information or condition about the user (from the user's personal information, e.g., health library or programmed into the smartphone). Specific information about the user is taken into consideration when recommending user action, such as the user's specific health or medical conditions.

Abstract: A method comprising acquiring a plurality of measurements from at least one sensor in a mobile device, determining an activity classification of a user of the mobile device based on the plurality of measurements, acquiring an audio file for the mobile device, wherein the audio file is selected based on the activity classification, and playing the audio file by the mobile device.

Abstract: A method implemented by a mobile device for music recommendation to a user of the mobile device, the method comprising acquiring one or more measurements from at least one biometric sensor to obtain biometric information of the user, determining a music based at least in part on the biometric information, and recommending the music to the user for playing.

Abstract: A method for detecting a subject's stress level associated with an activity includes (a) connecting the subject to a sensor that senses a value of a biometric; (b) during the activity, (i) repeatedly sensing the value of the biometric over each of a plurality of time windows; and (ii) computing, for each time window, a deviation in the sensed values of the biometric; and (c) detecting the stress level based on the computed deviations. In one implementation, the value of the biometric is a skin temperature measurement. The method may be implemented as an application in a wireless handheld device, such as a cellular telephone.

Abstract: A method and a receiver are provided for demodulating a received multi-carrier modulated signal. The demodulation procedure includes (a) multiplying the received multi-carrier modulated signal with its complex conjugate to obtain a squared signal; (b) multiplying the squared signal with a carrier demodulating signal to obtain a product signal, and integrating the product signal over the duration T. A bit decision may then be performed on the integration result using analog components without the need for high-speed analog-to-digital conversion.