Motion-based music recommendation for mobile devices

• US 9,454,604 B2
• Filed: 09/27/2013
• Issued: 09/27/2016
• 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
• Primary Examiner(s): Elbin, Jesse
• Application Number:
  US14/040,436
• Publication Number:
  US 20140277648A1
• Time in Patent Office: 1,096 Days
• Field of Search: 700/94, 706/12, 706/934
• US Class Current: 1/1
• 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 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.

Claims

1. A method comprising:

acquiring a plurality of physical motion measurements of a mobile device from at least one sensor in the mobile device;

determining an activity classification of a user of the mobile device based on the plurality of physical motion measurements;

mapping each of a plurality of activity classifications to at least one of a plurality of mood classifications, wherein an audio file obtained by the mobile device is associated with one of the plurality of mood classifications;

acquiring the audio file for the mobile device, wherein the audio file is selected based on the activity classification and the mood classification;

receiving a feedback from a user input signal about the audio file, wherein the mapping is adjusted based on the feedback, and wherein a new audio file is selected based on the adjusted mapping; and

playing the new audio file by the mobile device.

2. The method of claim 1, wherein selecting the audio file comprises retrieving the audio file from a database, wherein the database stores the plurality of mood classifications and a plurality of audio files for each of the plurality of mood classifications.

3. The method of claim 1, wherein the plurality of physical motion measurements comprises a plurality of position measurement values, and wherein determining the activity classification comprises analyzing the plurality of position measurement values to determine the activity classification.

11. The method of claim 1, wherein the activity classification identifies an activity of a plurality of activities, and wherein the plurality of activities comprises one or more of standing, sitting, lying down, walking, running, biking, dancing, riding, strolling, and skating.

4. 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 a plurality of physical motion measurements of the mobile device from at east one sensor in the mobile device;

determine an activity classification of a user of the mobile device based on the plurality of physical motion measurements;

map each of a plurality of activity classifications to at least one of a plurality of mood classifications, wherein an audio file obtained by the mobile device is associated with one of the plurality of mood classifications;

acquire the audio file for the mobile device, wherein the audio file is selected based on the activity classification and the mood classification;

receive a feedback from a user input signal about the audio file, wherein the mapping is adjusted based on the feedback, and wherein a new audio file is selected based on the adjusted mapping; and

play the new audio file by the mobile device.

5. The computer program product of claim 4, wherein the plurality of physical motion measurements comprises a plurality of position measurement values, wherein determining the activity classification comprises analyzing the plurality of position measurement values to determine the activity classification.

12. The computer program product of claim 5, wherein the activity classification identifies an activity of a plurality of activities, and wherein the plurality of activities comprises one or more of standing, sitting, lying down, walking, running, biking, dancing, riding, strolling, and skating.

6. A mobile device comprising:

at least one sensor configured to generate a plurality of physical motion measurements of the mobile device;

a processor coupled to the at least one sensor and configured to;

acquire the plurality of physical motion measurements;

determine an activity classification of a user of the mobile device based on the plurality of physical motion measurements; and

map each of a plurality of activity classifications to at least one of a plurality of mood classifications, wherein an audio file obtained by the mobile device is associated with one of the plurality of mood classifications;

acquire an audio file, wherein the audio file is selected based on the activity classification and the mood classification;

receive a feedback from a user input signal about the audio file, wherein the mapping is adjusted based on the feedback, and wherein a new audio file is selected based on the adjusted mapping; and

play the new audio file by the mobile device.

7. The mobile device of claim 6, wherein the processor is coupled to an audio output device, and wherein the processor is further configured to convert the audio file into a signal for use by the audio output device and send the signal to the audio output device.

8. The mobile device of claim 6, further comprising a memory configured to store the mapping of the plurality of activity classifications to the plurality of mood classifications.

9. The mobile device of claim 8, further comprising a touch screen configured to receive the feedback from the user input signal about the audio file.

10. The mobile device of claim 9, wherein the at least one sensor comprises an accelerometer, wherein the plurality of physical motion measurements comprises a plurality of accelerometer measurement values, and wherein determining the activity classification comprises analyzing the plurality of accelerometer measurement values to determine the activity classification.