Design and implementation of gesture recognition in VR power training

Zhun Zhong; Guoshi Wang; Lingchi Zeng; Xiaozhou Fan

doi:10.1117/12.3011977

7 December 2023 Design and implementation of gesture recognition in VR power training

Zhun Zhong, Guoshi Wang, Lingchi Zeng, Xiaozhou Fan

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129412Y (2023) https://doi.org/10.1117/12.3011977
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

In order to enrich the electric power training based on virtual reality technology, this paper focuses on the design and implementation of gesture recognition function. Through the configuration of HTC Vive locator and Gabor gesture recognition algorithm, plus data glove and VR headset for auxiliary use, to complete the natural and intuitive human-computer interaction in VR. Among them, the HTC Vive locator can locate the user's position in real time in the virtual environment, and the Gabor gesture recognition algorithm is to analyze the user's hand movements and posture. The simulation test with the students of Hainan Electric Power Training School verifies the accuracy of the design of the scheme, which can improve the training effect and learning results.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhun Zhong, Guoshi Wang, Lingchi Zeng, and Xiaozhou Fan "Design and implementation of gesture recognition in VR power training", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129412Y (7 December 2023); https://doi.org/10.1117/12.3011977

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