System and method for associating music with brain-state data

Abstract

A system and method may be provided for associating bio-signal data (e.g. EEG brain scan data) from at least one user with at least one music data item (e.g. song, or piece of music). By associating bio-signal data, or emotions determined therefrom, with music, the system may establish a data store of music associated with emotions. That database may then be leveraged upon determining that a user is feeling a particular emotion through an EEG scan. When a particular emotion is detected in EEG data of a user, the system may then respond based at least partly on the same or similar emotion being associated with one or more music data items in the system. For example, the system may recommend a particular song associated with the same emotion presently being experienced by the user.

What is claimed is: 
     
         1 . An intelligent music system comprising:
 at least one bio-signal sensor to capture bio-signal data about a user;   an output to output music data, the music data comprising at least a first music data item and a second music data item; and   at least one computing device in communication with the least one bio-signal sensor to continuously receive bio-signal data comprising brainwave data of at least one user, the at least one computing device configured to:
 detect a first user response associated with the first music data item, the first user response based on bio-signal data captured during playback of the first music data item; 
 detect a second user response associated with the second music data item, the second user response based on bio-signal data captured during playback of the second music data item; 
 apply a song transition or a music effect to the music data based on a recommendation generated based on the first user response, the second user response, and a target state using a predictive model. 
   
     
     
         2 . The system of  claim 1 , wherein the at least one computing device configured to update an order of music data items within the music data based on the first and second user responses. 
     
     
         3 . The system of  claim 1 , wherein the at least one computing device is further configured to update the predictive model based on the first user response, the second user response, and a target state. 
     
     
         4 . The system of  claim 1 , wherein the predictive model selects a song transition or a music effect using the first user response, the second user response, and results from the song transition or the music effect on users with similar user responses. 
     
     
         5 . The system of  claim 1 , wherein the target state is a target state profile that changes during the playback of the music data. 
     
     
         6 . The system of  claim 5 , wherein the target state profile includes at least one of a tension state and a release state. 
     
     
         7 . The system of  claim 1 , wherein the system probes the user by inserting audio stimulus into the music data and assessing the user response to the audio stimulus. 
     
     
         8 . The system of  claim 7 , wherein inserting the audio stimulus into the music data comprises inserting a portion of the second music data item into the first music data item. 
     
     
         9 . The system of  claim 1 , wherein the song transition comprises a transition from the second music data item to a third music data item. 
     
     
         10 . The system of  claim 1 , wherein the at least one bio-signal sensor comprises at least one brainwave sensor. 
     
     
         11 . The system of  claim 1 , further comprising:
 memory storing a database of music data associated with emotions;   wherein the at least one computing device is configured to generate a recommended music data item from the database based on one or more of the first user response, second user response, and the target state.   
     
     
         12 . An method of applying effects to music data, the method comprising:
 playing a first music data item;   detecting a first user response associated with the first music data item, the first user response based on bio-signal data captured during playback of the first music data item;   playing a second music data item;   detecting a second user response associated with the second music data item, the second user response based on bio-signal data captured during playback of the s music data item;   generating a recommendation based on the first user response, the second user response, and a target state using a predictive model;   applying a song transition or a music effect to the music data based on the recommendation.   
     
     
         13 . The method of  claim 12 , further comprising updating an order of music data items within the music data based on the first and second user responses. 
     
     
         14 . The method of  claim 12 , further comprising updating the predictive model based on the first user response, the second user response, and a target state. 
     
     
         15 . The method of  claim 12 , wherein the predictive model selects a song transition or a music effect using the first user response, the second user response, and results from the song transition or the music effect on users with similar user responses. 
     
     
         16 . The method of  claim 12 , wherein the target state is a target state profile that changes during the playback of the music data. 
     
     
         17 . The method of  claim 16 , wherein the target state profile includes at least one of a tension state and a release state. 
     
     
         18 . The method of  claim 12 , further comprising probing the user by inserting audio stimulus into the music data and assessing the user response to the audio stimulus. 
     
     
         19 . The method of  claim 18 , wherein inserting the audio stimulus into the music data comprises inserting a portion of the second music data item into the first music data item. 
     
     
         20 . The method of  claim 12 , wherein the song transition comprises a transition from the second music data item to a third music data item. 
     
     
         21 . The method of  claim 12 , further comprising:
 generating a recommended music data item from a database of music data associated with emotions based on one or more of the first user response, second user response, and the target state.