Music Recommendation Based on Biometric and Motion Sensors on Mobile Device

• US 20140277649A1
• Filed: 09/27/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Futurewei Technologies Incorporated (Huawei Investment & Holding Co., Ltd.)
• Original Assignee: Futurewei Technologies Incorporated (Huawei Investment & Holding Co., Ltd.)
• Inventors: Chong, Chia-Chin, Zhang, Jianyu
• Granted Patent: US 9,449,084 B2
• Time in Patent Office: Days
• US Class Current: 700/94
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A63B 24/0062 Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: G06F 16/635 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/636 by using biological or physiological data
• CPC Class Codes: G06F 16/639 using playlists
• CPC Class Codes: G06F 16/68 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/686 using information manually generated, e.g. tags, keywords, comments, title or artist information, time, location or usage information, user ratings
• CPC Class Codes: G06F 16/687 using geographical or spatial information, e.g. location
• CPC Class Codes: G06F 16/90324 using system suggestions
• CPC Class Codes: G06F 3/16 Sound input; Sound output speech processing G10L
• CPC Class Codes: G06F 3/165 Management of the audio stream, e.g. setting of volume, audio stream path
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: H04H 60/33 Arrangements for monitoring the users' behaviour or opinions
• CPC Class Codes: H04H 60/46 for recognising users' preferences
• CPC Class Codes: H04H 60/49 for identifying locations
• CPC Class Codes: H04H 60/65 for using the result on users' side

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.

Claims

1. 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.

2. The method of claim 1, wherein the biometric information of the user includes at least one of heart rate, skin temperature, perspiration level, oxygen level, brain wave, actigraphy sleep pattern, and electrocardiography (ECG).

3. The method of claim 1, further comprising acquiring at least one measurement from one or more motion sensors to obtain physical motion data of the user, wherein determining the music is further based on the physical motion data.

4. The method of claim 3, further comprising:

determining, based on the biometric information, a biometric identifier as a classification of a biometric state of the user;

determining, based on the physical motion data, an activity identifier as a classification of physical motion of the user; and

determining a life index identifier jointly based on the activity identifier and the biometric identifier, wherein determining the music is based on the life index identifier.

5. The method of claim 4, wherein the mobile device stores a mapping of each of a plurality of activity identifiers to a corresponding one of plurality of biometric identifiers, and wherein determining the life index identifier comprises using the mapping.

6. The method of claim 4, further comprising:

mapping the life index identifier to a mood according to a mood classifier; and

determining a music category corresponding to the mood;

wherein the music is determined by selection from the music category.

7. The method of claim 3, further comprising:

receiving feedback from the user indicating a preference of the user regarding the music recommended to the user; and

adjust determination of the music based on the feedback from the user to determine a new music for recommendation to the user.

8. A mobile device comprising:

a processor configured to couple to at least one biometric sensor and further configured to;

acquire one or more measurements from the at least one biometric sensor to obtain biometric information of the user;

determine a music based at least in part on the biometric information; and

recommend the music to the user for playing.

9. The mobile device of claim 8, further comprising the at least one biometric sensor configured to conduct the one or more measurements on the user.

10. The mobile device of claim 8, wherein the processor is further configured to couple to one or more motion sensors and further configured to acquire at least one measurement from the one or more motion sensors to obtain physical motion data of the user, and wherein determining the music is further based on the physical motion data.

11. The mobile device of claim 10, further comprising the one or more motion sensors configured to conduct the at least one measurement on the user.

12. The mobile device of claim 10, wherein the processor is further configured to:

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; and

determine a life index identifier jointly based on the activity identifier and the biometric identifier, wherein determining the music is based on the life index identifier.

13. The mobile device of claim 12, further comprising a storage configured to store a mapping of each of a plurality of activity identifiers to a corresponding one of plurality of biometric identifiers, wherein determining the life index identifier comprises using the mapping.

14. The mobile device of claim 12, wherein the processor is further configured to:

map the life index identifier to a mood according to a mood classifier; and

determine a music category corresponding to the mood;

wherein the music is determined by selection from the music category.

15. The mobile device of claim 10, further comprising:

receiving feedback from the user indicating a preference of the user regarding the music recommended to the user; and

adjust determination of the music based on the feedback from the user to determine a new music for recommendation to the user.

16. 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 mobile device to:

acquire one or more measurements from the at least one sensor to obtain physical condition data of a user using the mobile device;

determine a music based at least in part on the physical condition data; and

recommend the music to the user for playing.

17. The computer program product of claim 16, wherein the physical condition data includes at least one of physical motion data and biometric information of the user.

18. The computer program product of claim 16, further comprising instructions that cause the mobile device to:

receive feedbacks over time from the user indicating preference of the user regarding musics recommended to the user; and

adjust music recommendations based on the feedbacks from the user such that a new music is recommended to the user upon each feedback.

19. The computer program product of claim 16, wherein the physical condition data is a combination of physical motion data and biometric information of the user, wherein the physical motion data are acquired from one or more motion sensors, and wherein the biometric data are acquired from one or more biometric sensors.

20. The computer program product of claim 18, further comprising instructions that cause the mobile device to:

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;

determine a life index identifier jointly based on the activity identifier and the biometric identifier, wherein determining the music is based on the life index identifier;

map the life index identifier to a mood according to a mood classifier; and

determine a music category corresponding to the mood;

wherein the music is determined by selection from the music category.