System and method for using biometrics to predict and select music preferences
First Claim
1. A method for using biometrics to select music preferences for a user in a vehicle, the method 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 sensory input indicates satisfaction with the music selection being played;
selecting another music selection other than the music selection being played based on the interpretation of the input from the biometric sensor;
categorizing the music selection being played as one the user likes or dislikes based on the interpretation of the input from the biometric sensor; and
analyzing models of biometric data applied on a filter;
wherein the filter outputs a prediction of music selections for the user based on the models; and
wherein the models are developed from reaction variant patterns, and the method further comprises;
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.
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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.
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Citations
18 Claims
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1. A method for using biometrics to select music preferences for a user in a vehicle, the method comprising:
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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 sensory input indicates satisfaction with the music selection being played; selecting another music selection other than the music selection being played based on the interpretation of the input from the biometric sensor; categorizing the music selection being played as one the user likes or dislikes based on the interpretation of the input from the biometric sensor; and analyzing models of biometric data applied on a filter; wherein the filter outputs a prediction of music selections for the user based on the models; and wherein the models are developed from reaction variant patterns, and the method further comprises; 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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A method for using biometrics to select music preferences for a user in a vehicle, the method comprising:
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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 sensory input indicates satisfaction with the music selection being played; selecting another music selection other than the music selection being played based on the interpretation of the input from the biometric sensor; and categorizing the music selection being played as one the user likes or dislikes based on the interpretation of the input from the biometric sensor, wherein; the vehicle includes another user; the input from the biometric sensor comprises biometric information of the user and the other user; and the method further comprises determining overlapping music selections liked by both the user and the other user.
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17. A method for using biometrics to select music preferences for a user in a vehicle, the method comprising:
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monitoring the vehicle for an input from a biometric sensor; determining whether any inputs from the biometric sensor have been detected; interpreting the input from the biometric sensor; analyzing environmental data; categorizing a music selection being played as one the user likes or dislikes based on the interpretation of the input from the biometric sensor; and selecting another music selection based on the interpretation of the input from the biometric sensor and the environmental data, wherein; the vehicle includes another user; the input from the biometric sensor comprises biometric information of the user and the other user; and the method further comprises determining overlapping music selections liked by both the user and the other user.
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18. A method for using biometrics to select music preferences for a user in a vehicle, the method comprising:
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monitoring the vehicle for an input from a plurality of biometric sensors; determining whether any inputs from the biometric sensors have been detected; interpreting the inputs from the biometric sensors to develop models of biometric data; applying and analyzing the models of the biometric data on a filter; categorizing music selections as those the user likes or dislikes based on the models; outputting a prediction of music selections for the user based on the models, wherein the models are developed from reaction variant patterns; 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.
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Specification