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Electroencephalographic earphone based dynamic personalized song recommendation system and method therefor

An EEG headset and recommendation system technology, which is applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of fixed emotional judgment and inability to dynamically adjust song lists, etc., to achieve accurate recommendation and promote efficiency.

Active Publication Date: 2015-11-11
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, such methods are relatively fixed for emotional judgment, and cannot adaptively and dynamically adjust the playlist according to changes in the user's emotional state.
However, there is no recommended method for automatically judging whether a song is suitable by using the user's EEG signal changes to the song.

Method used

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  • Electroencephalographic earphone based dynamic personalized song recommendation system and method therefor
  • Electroencephalographic earphone based dynamic personalized song recommendation system and method therefor
  • Electroencephalographic earphone based dynamic personalized song recommendation system and method therefor

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings.

[0042] The present invention includes two main contents: a dynamic personalized song recommendation system based on EEG earphones; the second is a method of collecting the user's current EEG signal to judge the user's concentration and relaxation, and assigning and sorting the current songs. The core of this method is the algorithm of the song recommendation system.

[0043] as attached figure 1 , a dynamic personalized song recommendation system based on an EEG headset, the system includes an EEG headset system, a user terminal and a server, the brain feedback data obtained by the built-in algorithm of the EEG headset system is transmitted to the user terminal, and the user terminal transmits the received The brain feedback data is transmitted to the server. After the server receives the brain feedback data, it uses a perfect song recommendation algorithm to carry ou...

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Abstract

The invention discloses an electroencephalographic earphone based dynamic personalized song recommendation system and a method therefor. The system comprises an electroencephalographic earphone system, a user terminal and a server, wherein brain feedback data obtained by a built-in algorithm of the electroencephalographic earphone system is transmitted to the user terminal; the user terminal transmits the received brain feedback data to the server; and the server, after receiving the brain feedback data, performs weight value assignment on the brain feedback data through an improved song recommendation algorithm, resorts songs according to an updated weight value to form a recommended song list, and transmits the list to the user terminal. The method applying the system can be suitable for music recommendation in various states of working, studying, sleeping and the like, and a more user-friendly and targeted man-machine system is created for users.

Description

technical field [0001] The present invention relates to a dynamic personalized song recommendation system and method, in particular to a personalized music recommendation system and method based on MindWave EEG earphones. Background technique [0002] By observing people's habits, it is found that people are used to reading, studying or working while listening to music. Appropriate music can help improve people's concentration and work and study efficiency; on the contrary, songs that are too intense or too soothing will affect people's thinking ability and reduce concentration, which is not conducive to work or study. If the music playback system does not make effective recommendations based on personal preferences, it may cause the task at hand to be interrupted to adjust the music due to playing songs that do not like or music that does not match the mood at the time, which is very easy for people to read while reading. Unable to concentrate, resulting in negative effect...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/636
Inventor 曾洪石春凤杨骏逸端豪郑亚君张艺璇宋爱国
Owner SOUTHEAST UNIV