検査作業支援システムのためのジェスチャー入力の操作性の検討

抄録

A number of concrete structures in Japan are facing degradation problems and need to receive maintenance regularly, thus automated crack inspection system is an important task to evaluate the necessity for structures’ repair. Many studies have been researched on automated crack inspection system and some of them use Mixed Reality Head-Mounted Display (MRHMD) for crack visualization. In this study, we develop a crack inspection support system considering human work evaluation by using hand gesture input. First, in a preliminary experiment, we investigated the recognition accuracy of gesture input in HoloLens 2 and examined the gesture pattern used in the proposed system. Then, we evaluated several gesture patterns that are appropriate for the system and investigate system performance using hand gesture input. The results show that gestures which are strongly relevant to command have a good performance while gestures that have low relevance shares low preference. We confirmed that for high relevance gestures, gesture input has the potential to improve system performance and efficiency.