Music recommendation based on biometric and motion sensors on mobile device
AssigneeFuturewei Technologies, Inc.
InventorsChia-Chin Chong, Jianyu Zhang
Life of this patent
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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.
Claims17
A method implemented by a user-portable mobile device for recommending audio to a user of the user-portable mobile device, the method comprising:
- acquiring one or more measurements from at least one biometric sensor to obtain biometric information of the user;
- determining, based on the biometric information, a biometric identifier as a classification of a biometric state of the user;
- mapping the biometric identifier to a mood classifier to generate an audio selection, wherein the mood classifier identifies a particular mood from a plurality of moods based on the biometric identifier, and wherein the audio selection is associated with the particular mood;
- modeling the audio selection based on an activity identifier, the biometric identifier, the mood classifier, user feedback, a location, time patterns, a motion status, and a current activity;
- and
- producing the audio selection associated with the particular mood to the user through an output of the user-portable mobile device, wherein the output can be in the form of a signal or sound from a speaker.
A user-portable mobile device comprising:
- a memory configured to store executable instructions;
- a processor coupled to the memory and at least one biometric sensor, wherein the processor is configured to:
- acquire biometric information of a user from the at least one biometric sensor;
- determine, based on the biometric information, a biometric identifier as a classification of a biometric state of the user;
- map the biometric identifier to a mood classifier to generate an audio selection, wherein the mood classifier identifies a particular mood from a plurality of moods, and wherein the audio selection is associated with the particular mood;
- model the audio selection based on an activity identifier, the biometric identifier, the mood classifier, user feedback, a location, time patterns, a motion status, and a current activity;
- and
- play the audio selection associated with the particular mood to the user through an output of the user-portable mobile device.
A computer program product comprising computer executable instructions stored on a non-transitory computer readable medium such that when executed by a processor cause a user-portable mobile device to:
- acquire one or more measurements from at least one sensor to obtain physical condition data of a user using the user-portable mobile device, wherein the physical condition data includes physical motion data and biometric information of the user;
- determine, based on the biometric information, a biometric identifier as a classification of a biometric state of the user;
- determine, based on the physical motion data, an activity identifier as a classification of physical motion of the user;
- map the activity identifier and the biometric identifier to a mood classifier to generate an audio selection, wherein the mood classifier identifies a particular mood from a plurality of moods, and wherein the audio selection is associated with the particular mood;
- model the audio selection based on the activity identifier, the biometric identifier, the mood classifier, user feedback, a location, time patterns, a motion status, and a current activity;
- and
- play the audio selection associated with the particular mood to the user through an output of the user-portable mobile device.
Dependencies are inferred from the claim text.