System and method for using biometrics to predict and select music preferences

• US 9,244,441 B2
• Filed: 11/16/2012
• Issued: 01/26/2016
• Est. Priority Date: 10/25/2012
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Caskey, Sasha P., Kanevsky, Dimitri, Maskey, Sameer R., Sainath, Tara N.
• Primary Examiner(s): Nguyen, Duc
• Assistant Examiner(s): Monikang, George
• Application Number:
  US13/679,407
• Publication Number:
  US 20140119564A1
• Time in Patent Office: 1,166 Days
• Field of Search: 381/86, 381/118, 600/300, 600/481, 600544-546, 600/549
• US Class Current: 1/1
• CPC Class Codes: G05B 1/01 electric
• CPC Class Codes: G06F 16/61 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/636 by using biological or physiological data
• CPC Class Codes: G06F 3/165 Management of the audio stream, e.g. setting of volume, audio stream path
• CPC Class Codes: G06V 40/50 Maintenance of biometric data or enrolment thereof

Abstract

Systems and methods for using biometrics to select music preference are provided. A system for using biometrics to select music preferences for a user in a vehicle, comprises a music selection module electrically coupled to at least one biometric sensor in the vehicle, wherein the at least one biometric sensor senses a characteristic of the user and outputs data for the sensed characteristic to the music selection module, and wherein the music selection module selects a music selection for the user based on the sensed characteristic data, and a controller module electrically coupled to the music selection module to control playing of the music selection, wherein the controller module receives an output including the music selection from the music selection module.

Claims

1. A system for using biometrics to select music preferences for a user in a vehicle, comprising:

a music selection module electrically coupled to at least one biometric sensor in the vehicle, wherein the at least one biometric sensor senses a characteristic of the user and outputs data for the sensed characteristic to the music selection module, and wherein the music selection module;

determines whether a music selection is being played;

interprets the sensed characteristic data to predict whether the sensed characteristic data indicates satisfaction with the music selection being played;

selects another music selection for the user other than the music selection being played based on the interpretation of the sensed characteristic data;

categorizes the music selection being played as one the user likes or dislikes based on the interpretation of the sensed characteristic data;

comprises a filter including a pattern recognition tool to analyze models of biometric data applied on the filter, wherein the filter outputs a prediction of music selections for the user based on the models, and the models are developed from reaction variant patterns;

respectively categorizes existing reaction variant patterns under different music selections;

detects uncategorized reaction variant patterns;

determines to which categorized reaction variant patterns the uncategorized reaction variant patterns are closest; and

categorizes the uncategorized reaction variant patterns under the same music selections as their closest categorized reaction variant patterns; and

a controller module electrically coupled to the music selection module to control playing of the music selection, wherein the controller module;

receives an output including the music selection from the music selection module;

plays the other music selection in place of the music selection being played in response to a determination that the sensed characteristic indicates dissatisfaction with the music selection being played, and the categorization of the music selection being played as one the user dislikes; and

plays the other music selection after the music selection being played ends in response to a determination that the sensed characteristic indicates satisfaction with the music selection being played, and the categorization of the music selection being played as one the user likes.

2. The system of claim 1, wherein the characteristic is at least one of a pulse rate, a body temperature, a facial expression and a body movement.

3. The system of claim 1, wherein the biometric sensor comprises at least one of a pressure sensor, a motion sensor, a pulse rate sensor, a temperature sensor and a camera.

4. The system of claim 1, wherein the music selection module receives environmental data and selects the other music selection for the user based on the interpretation of the sensed characteristic data and the environmental data.

5. The system of claim 4, wherein the environmental data is at least one of a day of a week, a time of the day, weather, season and driving route.

6. The system of claim 1, further comprising a database of previously analyzed biometric data electrically coupled to the music selection module, wherein the music selection module selects the other music selection for the user based on the interpretation of the sensed characteristic data and the previously analyzed biometric data.

7. The system of claim 1, wherein the music selection module comprises at least one of a biometric sensor interpreter, a gesture analyzer, and an emotion classifier.

8. The system of claim 1, wherein the music selection module comprises a searching module capable of searching at least one of a database and FM frequencies for a matching or similar music selection to the selected music selection.

9. The system of claim 8, wherein the searching module searches for music selections according to a music classification pattern.

10. The system of claim 1, wherein the pattern recognition tool further analyzes environmental data to output the prediction of music selections based on the environmental data.

11. The system of claim 1, wherein the models include personalized user models developed during a training phase.

12. The system of claim 1, wherein the reaction variant patterns are based on linear combinations of other patterns.

13. The system of claim 1, wherein the music selection module comprises a searching module capable of searching a plurality of radio stations for a matching or similar music selection to the selected music selection.

14. An article of manufacture comprising a non-transitory computer readable storage medium comprising program code tangibly embodied thereon, which when executed by a computer, performs method steps for using biometrics to select music preferences for a user in a vehicle, the method steps comprising:

monitoring the vehicle for an input from a biometric sensor;

determining whether any inputs from the biometric sensor have been detected;

determining whether a music selection is being played;

interpreting the input from the biometric sensor to predict whether the input from the biometric sensor indicates satisfaction with the music selection being played;

analyzing environmental data;

selecting another music selection other than the music selection being played based on the interpretation of the input from the biometric sensor and the environmental data;

categorizing the music selection being played as one a user likes or dislikes based on the interpretation of the input from the biometric sensor and the environmental data;

playing the other music selection in place of the music selection being played in response to a determination that the input from the biometric sensor indicates dissatisfaction with the music selection being played, and the categorization of the music selection being played as one the user dislikes;

playing the other music selection after the music selection being played ends in response to a determination that the input from the biometric sensor indicates satisfaction with the music selection being played, and the categorization of the music selection being played as one the user likes, wherein;

the vehicle includes another user;

the input from the biometric sensor comprises biometric information of the user and the other user; and

determining overlapping music selections liked by both the user and the other user.

15. The article of manufacture of claim 14, wherein the method steps further comprise:

detecting a conversation between the user and another occupant in the vehicle; and

decreasing a volume of the music selection being played based on the detection of the conversation.

16. An apparatus for using biometrics to select music preferences for a user in a vehicle, comprising:

a memory; and

a processor coupled to the memory and configured to execute code stored in the memory for;

monitoring the vehicle for inputs from a plurality of biometric sensors;

determining whether any inputs from the biometric sensors have been detected;

determining whether a music selection is being played;

interpreting the inputs from the biometric sensors to develop models of biometric data and to predict whether the inputs from the biometric sensor indicate satisfaction with the music selection being played;

applying and analyzing the models of the biometric data on a filter;

outputting a prediction of music selections for the user based on the models, wherein the models are developed from reaction variant patterns;

selecting another music selection other than the music selection being played based on the interpretation of the inputs from the biometric sensors and the prediction of music selections;

categorizing the music selection being played as one a user likes or dislikes based on the interpretation of the inputs from the biometric sensors and the models;

playing the other music selection in place of the music selection being played in response to a determination that the inputs from the biometric sensors indicate dissatisfaction with the music selection being played, and the categorization of the music selection being played as one the user dislikes;

playing the other music selection after the music selection being played ends in response to a determination that the inputs from the biometric sensors indicate satisfaction with the music selection being played, and the categorization of the music selection being played as one the user likes;

respectively categorizing existing reaction variant patterns under different music selections;

detecting uncategorized reaction variant patterns;

determining to which categorized reaction variant patterns the uncategorized reaction variant patterns are closest; and

categorizing the uncategorized reaction variant patterns under the same music selections as their closest categorized reaction variant patterns.