Audio-visual environment emotion personalized evaluation method and device based on range fusion decision

By employing a personalized assessment method for emotions in the audiovisual environment and utilizing a range fusion decision model to calculate the weights of audiovisual environmental factors, this approach addresses the lack of research on the synergistic influence of emotions across audiovisual and sensory channels. It achieves personalized emotion regulation with high applicability, making it suitable for real-life situations.

CN117204853BActive Publication Date: 2026-05-29HENAN UNIVERSITY OF TECHNOLOGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HENAN UNIVERSITY OF TECHNOLOGY
Filing Date
2023-09-14
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies lack sufficient research on the synergistic effects of visual and auditory cross-sensory channels on emotions. Experimental environments are complex and expensive to control, making them difficult to apply to the real world. Research on the synergistic effects of multiple factors on visual stimuli is also insufficient.

Method used

A personalized emotion assessment method for audiovisual environment based on range fusion decision-making is designed. By combining EEG data processing and range fusion decision-making model, the weights of audiovisual environmental factors are calculated to achieve personalized emotion regulation through single sensory channels of vision and hearing, synergy of multiple visual factors, and EEG stimulation of cross-sensory channels of vision and hearing.

Benefits of technology

It can reflect real-life situations in normal contexts, provide personalized emotional experiences, and has high applicability and feasibility. It can also provide clues for emotion regulation by deeply understanding the relationship between emotions and the environment through EEG data.

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Abstract

The application belongs to the technical field of brain emotion regulation, and particularly relates to an audio-visual environment emotion personalized evaluation method and device based on range fusion decision, which comprises collecting and preprocessing brain emotion information by taking visual and auditory single sensory channel, visual multiple factor synergy and audio-visual cross-sensory channel as electroencephalogram stimulation; a range fusion decision model is established and trained, the model is used to obtain the influence degree of different audio-visual environment factors on different emotions, and the environment is adjusted according to the evaluation result to realize personalized emotion regulation. The application designs combinations of different audio-visual environment factors, obtains related electroencephalogram data, calculates the weight of different audio-visual environment factors of each experimental object, evaluates the influence of different audio-visual environments on emotions, and according to different emotion regulation requirements, corresponding audio-visual environment design is carried out, and finally, personalized self-adaptive adjustment of the environment is realized, which can better reflect real life situations and has higher feasibility and applicability.
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