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Music emotional recommendation method and system

A recommendation method and recommendation system technology, applied in the field of music emotional recommendation methods and systems, can solve problems such as treatment goals, scientific principles and mechanisms of treatment mechanisms, lack of scientific and effective measurement, etc. Emotional experience

Inactive Publication Date: 2021-07-20
合肥中聚源智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Existing technologies for music emotional therapy are mainly about some wearable equipment or hardware technology, and have not considered the scientific principles and mechanisms of using music for emotional therapy in terms of therapeutic goals, therapeutic mechanisms, therapeutic effects, etc., lacking in scientificity and effectiveness measure of

Method used

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  • Music emotional recommendation method and system
  • Music emotional recommendation method and system
  • Music emotional recommendation method and system

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Embodiment Construction

[0048] In order to further illustrate the features of the present invention, please refer to the following detailed description and accompanying drawings of the present invention. The accompanying drawings are for reference and description only, and are not intended to limit the protection scope of the present invention.

[0049] like figure 1 As shown, this embodiment discloses a music emotional recommendation method, including the following steps S1 to S3:

[0050] S1. Collect user facial data;

[0051] S2. Identify the user's current mood and user's gender according to the user's facial data;

[0052] S3. Based on the user's gender and the user's current mood, use the set music extraction rules to extract the music in the music library and recommend it to the user.

[0053] In this embodiment, an external camera can be used to collect face data, and the user's emotion can be judged more accurately through the face data, so as to perform more accurate positive interventio...

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Abstract

The invention discloses a music emotional recommendation method and system, and belongs to the technical field of music emotional recommendation, and the method comprises the steps: collecting user face data; identifying the current emotion of the user and the gender of the user according to the user face data; and based on the gender of the user and the current emotion of the user, extracting music in a music library and recommending the music to the user by utilizing a set music extraction rule. According to the method and system, music emotional recommendation is performed for the negative emotion of the user, so that the negative emotion of the user is relieved, and the positive emotion experience of the user is enhanced.

Description

technical field [0001] The invention relates to the technical field of music emotional recommendation, in particular to a music emotional recommendation method and system. Background technique [0002] Music and emotions are closely related, and music plays an important role in expressing and adjusting emotions, and has become one of the elements in people's life, study, and spiritual treatment. Existing technologies for music emotional therapy are mainly about some wearable equipment or hardware technology, and have not considered the scientific principles and mechanisms of using music for emotional therapy in terms of therapeutic goals, therapeutic mechanisms, therapeutic effects, etc., lacking in scientificity and effectiveness measure. Contents of the invention [0003] The purpose of the present invention is to overcome the above-mentioned shortcomings in the background technology, and realize music emotional recommendation for emotions. [0004] In order to achieve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/635G06F16/68G06F16/683G16H20/70G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06F16/636G06F16/683G06F16/686G16H20/70G06N3/08G06V40/174G06V40/172G06V40/168G06N3/045G06F18/213G06F18/2411
Inventor 孙晓汪萌王佳敏陈倩
Owner 合肥中聚源智能科技有限公司
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