LAUSR

Trends in digital games and game-based learning development are gradually moving toward physical interactivity and man–machine experiential input. In this study, a motion-sensing wireless handle created by the Industrial Technology Research Institute of Taiwan was applied to a PC-based digital somatosensory learning system. Through wireless signal transmission, a decision tree algorithm was used to verify and analyze the information for determining the corresponding functions and motion-sensing identification. The enhanced accuracy and validity rate of action judgments of physical action signals (action-end device) sent to the somatosensory system can increase the efficiency of instant interaction and fluency between the interface and game system. The research results can be used to develop somatosensory games, add to the collective knowledge in this field, and improve future system efficacy. This study can help developers working on digital games and in other related fields to understand the engines and hardware principles of somatosensory games. Moreover, because ideas are presented without excessive complexity, the results may encourage students to develop somatosensory games.