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586 results on '"Kong, Dezhi"'

11. Research on Physical Education Teaching Mode in Colleges and Universities Based on VR Technology

Author

Kong Dezhi and Zhang Aoyao

Subjects
vr technology, super-resolution recovery, regularized solution, feedback teaching mode, 97u10, Mathematics, QA1-939
Abstract

This paper utilizes VR technology to construct a virtual sports training situation and proposes a sports training feedback teaching mode based on VR technology. Aiming at the VR high-resolution scene generation technology, it analyzes the image super-resolution recovery algorithm based on multi-frames, introduces the regularization solution method, and, on this basis, proposes a generalized entropy variational image super-resolution recovery algorithm to realize better VR panoramic visual teaching. Taking Taekwondo movement training in K-school as the research content, we compared the learning attitude change, the influence of special physical quality, and the technical mastery ability of Taekwondo movement between the experimental group and the control group. The evaluation results found that the technical score of movement completion ability after the experiment was 94.98±2.36 in the experimental group and 85.79±5.32 in the control group. The quality of physical education teaching can be improved by using VR technology in teaching mode.

Published
2024
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12. Settings Optimization Method for Zero-Sequence Directional Overcurrent Relays Based on Coordination Time Interval

Author

Gao, Yukun, Gao, Yi, Chen, Jinfu, Shi, Hengchu, Kong, Dezhi, Chen, Jing, You, Hao, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Zeng, Pingliang, editor, Zhang, Xiao-Ping, editor, Terzija, Vladimir, editor, Ding, Yi, editor, and Luo, Yunxia, editor

Published
2023
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30. Study on upper limb joint angle prediction method based on sEMG

Author

KONG Dezhi, WANG Wendong, GUO Dong, and SHI Yikai

Subjects
上肢外骨骼, 表面肌电信号, 最小二乘支持向量机, 连续运动估计, Motor vehicles. Aeronautics. Astronautics, TL1-4050
Abstract

Aiming at the problems of insufficient human-computer interaction and human-machine coupling in the rehabilitation training process, a prediction model of upper limb joint angle is proposed and verified by experiments. Firstly, a mixture vector that can well represent the motion intention of the upper limbs is obtained based on sEMG; secondly, the signal preprocessing, feature optimization and extraction of temporal eigenvalues are completed; finally, for the problems of unsatisfactory prediction accuracy and slow prediction speed of the current models in the field of motion control, the least square method (LSM) is adopted. The upper limb joint angle prediction is realized by multiplying the support vector machine (LSSVM) first. The experimental results show that the prediction model proposed in this paper can well predict the motion trajectory of the upper limb joints of the human body according to the sEMG and attitude information, effectively reduce the prediction time delay and error, and has certain advantages.

Published
2022
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