日本バーチャルリアリティ学会論文誌
Online ISSN : 2423-9593
Print ISSN : 1344-011X
特集論文
物を把持した状態における筋電センサを用いたハンドジェスチャ入力の問題抽出と新手法の提案
御手洗 彰棟方 渚小野 哲雄
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ジャーナル フリー

2017 年 22 巻 1 号 p. 41-50

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In recent years, gesture recognition using surface-electromyogram (sEMG) has become popular and these approaches can classify gestures at a high recognition rate. In particular, easily-mountable sEMG based gesture recognition devices have been developed. When developing such devices for use in daily lives, it is necessary to consider situations where users will be using the device while gripping objects, such as umbrellas, bags and so on. By using sEMG of the forearm, it is possible to still collect data without intruding on what the user is doing in these situations. However, sEMG based gesture recognition while gripping an object still lacks sufficient investigation. Therefore, in this study, in order to investigate the feasibility of gesture input while gripping an object, we performed an experiment to measure recognition accuracy for four hand gestures of users while they are holding a variety of objects. From the results, we discuss both feasibility and problems of gesture input while gripping objects and propose a new approach to resolve those problems.

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© 2017 特定非営利活動法人 日本バーチャルリアリティ学会
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