Personalized music recommendation method and system based on facial expression recognition

A technology for facial expression recognition and recommendation methods, which is applied in the field of personalized music recommendation methods and systems, and can solve problems such as inability to recommend music

Inactive Publication Date: 2019-07-12
张怡卓
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] For this reason, the embodiment of the present invention provides a personalized music recommendation method and system based on facial expression recognition to solve the problem that existing streaming media applications cannot recommend music based on facial expressions

Method used

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  • Personalized music recommendation method and system based on facial expression recognition
  • Personalized music recommendation method and system based on facial expression recognition
  • Personalized music recommendation method and system based on facial expression recognition

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Embodiment 1

[0031] This embodiment discloses a personalized music recommendation method based on facial expression recognition, the recommendation method is:

[0032] Judging people's emotions according to facial expressions is used as an existing technology, using a face capture unit of a mobile terminal to call a camera to collect facial expressions, and judging people's mood characteristics by recognizing facial expressions;

[0033] Label and classify the music in the music library, calculate the emotional weight value of different styles of music according to the audio characteristics of the music and the emotional analysis of the lyrics, and select the emotion with the largest weight value as the emotional attribute of the music;

[0034] Map and match the emotional characteristics obtained after facial expression recognition with the music that matches the emotional attribute in the music library, and recommend music that matches the current mood of the person.

[0035] The facial ...

Embodiment 2

[0060] This embodiment discloses a personalized music recommendation system based on facial expression recognition. The recommendation system includes a terminal device and a cloud system. The terminal device includes: a camera, a face capture unit and a music player. The cloud system includes: a facial expression Recognition system, music emotion weight value table, personalized recommendation engine and music library. The corresponding emotional attributes select songs that match the current person’s emotions and recommend them to the user. When there is no song that matches the current person’s mood characteristics in the recommended playlist, the personalized recommendation engine recommends songs that match the corresponding mood characteristics from the music library. , to recommend songs to play on the music player.

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Abstract

The embodiment of the invention discloses a personalized music recommendation method and system based on facial expression recognition, and the method comprises the steps: collecting facial expressions through a camera of a mobile terminal, and judging the mood characteristics of a person through the recognition of the facial expressions; carrying out tagging classification on music in the music library, calculating emotion weight values of different styles of music according to audio features of the music and lyric emotion analysis, and selecting an emotion with the maximum weight value proportion as an emotion attribute of the first music; mapping and matching the mood characteristics obtained after the facial expression recognition with the music conforming to the emotion attribute in amusic library, and recommending the music conforming to the mood of the current person. The method solves the problem that the existing music streaming media application cannot recommend music according to facial expressions.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of music recommendation, in particular to a personalized music recommendation method and system based on facial expression recognition. Background technique [0002] Personalized recommendations for music apps help users quickly find music they like or may like in a mass of music based on users' interests and behavioral characteristics, improve user stickiness, and promote music playback and payment. The recommendation system is a business intelligence platform based on massive data mining and analysis. The recommendation is mainly based on the user's browsing history and behavior records, such as: audition, download, favorite, share, follow. [0003] Existing music recommendation methods include: 1. Demographic-based recommendation, which finds the user's relevance according to the basic information of the system user, and then recommends other items that similar users like to the curr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/635G06K9/00G06K9/62G06N3/04
CPCG06F16/636G06V40/174G06N3/045G06F18/2411G06F18/214
Inventor 张怡卓
Owner 张怡卓
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