Portable and Self-Powered Sensing AI-Enabled Mask for Emotional Recognition in Virtual Reality

With the increasing development of metaverse and human–computer interaction (HMI) technologies, artificial intelligence (AI) applications in virtual reality (VR) environments are receiving significant attention. This study presents a self-sensing facial recognition mask (FRM) utilizing triboelectric...

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Bibliographic Details
Main Author:	Deqiang He (14342763) (author)
Other Authors:	Hongyu Chen (105612) (author), Xinyi Zhao (779370) (author), Chengliang Fan (20864847) (author), Kaixiao Xiong (20864850) (author), Yue Zhang (30585) (author), Zutao Zhang (11781022) (author)
Published:	2025
Subjects:	Neuroscience Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified utilizing triboelectric nanogenerators term memory model receiving significant attention machine learning algorithms layer long short innovative approaches overcome developed using 5g based monitoring platform accurate facial movement including environmental interference improve sensor performance enhance user immersion powered sensing ai facial recognition technologies user status single sensor including psychotherapy emotional recognition visualization technologies virtual reality study presents mathematical models increasing development high cost enabled mask emotion detection digital twin artificial intelligence achieves 99
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Portable and Self-Powered Sensing AI-Enabled Mask for Emotional Recognition in Virtual Reality

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