An investigation of the effect of human-computer interaction-based motor feedback on jump rope performance

Baolong Wang

doi:10.1117/12.2655435

7 October 2022 An investigation of the effect of human-computer interaction-based motor feedback on jump rope performance

Baolong Wang

Author Affiliations +

Proceedings Volume 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022); 123440V (2022) https://doi.org/10.1117/12.2655435
Event: International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 2022, Zhuhai, China

Abstract

The new crown epidemic has made jumping rope exercise popular. However, during the jumping rope, the movements are repetitive and easily make people bored, which leads to the decline of exercise performance, and fitness people cannot insist on jumping rope exercise for a long time. This study combines the human-computer interaction theory and the goal feedback system to construct a quantitative feedback interaction system for rope skipping, aiming to improve the user experience and exercise performance during the jumping rope. The study concluded that the quantitative feedback system has a facilitating effect on jumping rope exercise performance through a completely randomized single-factor experimental design, which verifies the effectiveness of the interaction system. This is valuable for fitness people in the post-epidemic era. At the same time, it also provides a theoretical basis for the design of a multi-modal motor interaction feedback system for jumping rope exercise in the future.

Citation Download Citation

Baolong Wang "An investigation of the effect of human-computer interaction-based motor feedback on jump rope performance", Proc. SPIE 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 123440V (7 October 2022); https://doi.org/10.1117/12.2655435

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