Research Article
Design of Online Open Wushu Sanda Teaching Platform Based on Hybrid Reality Technology
@INPROCEEDINGS{10.1007/978-3-031-21161-4_5, author={Zhaoqi Fu and Dunke You and Wen Liu and Rong Sun}, title={Design of Online Open Wushu Sanda Teaching Platform Based on Hybrid Reality Technology}, proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I}, proceedings_a={ELEOT}, year={2023}, month={3}, keywords={Hybrid reality technology Online opening Martial arts Teaching platform Platform design Online education}, doi={10.1007/978-3-031-21161-4_5} }- Zhaoqi Fu
Dunke You
Wen Liu
Rong Sun
Year: 2023
Design of Online Open Wushu Sanda Teaching Platform Based on Hybrid Reality Technology
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_5
Abstract
IN view of the lack of interaction in Wushu Sanda Teaching, an online open Wushu Sanda Teaching Platform Based on hybrid reality technology is designed. In the hardware part, the serializer packs the image data into FPD link signal and outputs it to the deserializer circuit board through coaxial cable. The deserializer is responsible for unpacking the received FPD link signal, restoring it to mipi-csi signal and transmitting it to the image receiving and processing chip. In the software part, the logic layer includes two components: knowledge agent and interaction agent, which constitutes the architecture of learning and management system for online open platform. The collaborative interaction model is designed based on hybrid reality technology to realize the interaction behavior between users and the environment. According to the overall requirements of the platform, each functional module is designed to ensure teaching interaction. The test results show that when the number of concurrent users is 5000, the response time of the online open Wushu Sanda Teaching Platform Based on hybrid reality technology is 0.9 s, which is 0.5 s and 0.49 s shorter than that based on virtual technology and big data analysis technology, respectively. Therefore, the platform realizes each functional module and has good performance.
