Method and system for evaluating vr propros effect combining gesture and physiological signal

CN122284804APending Publication Date: 2026-06-26SHANDONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG UNIV
Filing Date
2026-02-04
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing VR avatar evaluation methods suffer from significant subjective bias, limited dimensions, and insufficient adaptability. They struggle to capture real-time consistency between user and avatar interactions and cannot comprehensively and accurately assess the Proteus effect.

Method used

By combining gesture recognition and physiological signals, the system acquires baseline physiological data and interactive gestures of users in a resting state, uses a lightweight CNN-GRU deep learning model to extract gesture features, integrates physiological activation indicators, and generates a comprehensive evaluation result of the avatar experience.

Benefits of technology

It enables accurate, real-time, and multi-dimensional assessment of human and non-human avatars, avoids subjective bias, and provides a reliable basis for VR avatar design optimization.

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Abstract

This invention belongs to the field of virtual reality interaction technology and provides a VR Proteus effect evaluation method and system that combines gestures and physiological signals. The method involves acquiring baseline physiological data of a user in a resting state while wearing a virtual reality device, and pre-setting interactive gestures; acquiring gesture data and physiological signals of the user selecting a target avatar to enter a virtual reality experience scene; extracting and classifying features from the gesture data and calculating the gesture consistency percentage; filtering the physiological signals and extracting physiological activation indicators based on the baseline physiological data; and fusing the gesture consistency percentage and physiological activation indicators to generate a comprehensive evaluation result of the avatar experience. This invention can achieve accurate, real-time, and multi-dimensional evaluation of human and non-human avatar experiences, providing a reliable basis for VR avatar design optimization and experience quality improvement.
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