Realization of Intelligent Scoring System of Taekwondo Protective Gear under the Application of Neural Network BP Model.

Abstract

This article presents the novel design of the technology acceptance model to create a predictive model of whether or not people will accept Taekwondo safety gear. A survey containing 28 items was completed by 200 collegiate Taekwondo practitioners associated with the Taekwondo Association. A significance level of 0.05 was employed for the correlation and structural equation modeling analyses. The perceived usefulness of the proposed system is practical compared to the existing system, which is significantly influenced by perceived quality. Perceived ease of use and perceived usefulness were also unaffected by visual beauty. Wearability had a substantial impact on perceived ease of use but significantly negatively impacted perceived usefulness. Perceived ease of use and perceived usefulness were not affected by the functionality of the proposed system. Perceived usefulness is significantly influenced by perceived ease of use, and the acceptance intention is affected by perceived usefulness which also affects the system's performance. These findings imply that increasing the device's perceived quality and wearability will increase its acceptance. This research shows an adequate verification model to validate the desired range of signals to accept Taekwondo electronic protective devices.