著者

Sho Mitarai Nagisa Munekata Daisuke Sakamoto Tetsuo Ono

出版者

THE VIRTUAL REALITY SOCIETY OF JAPAN

雑誌

日本バーチャルリアリティ学会論文誌 (ISSN:1344011X)

巻号頁・発行日

vol.26, no.4, pp.333-344, 2021-12-24 (Released:2021-12-24)

参考文献数

28

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In this paper, we propose a hand gesture sequence recognition technique for human–computer interactions wherein a user grasps an object. Our aim is to develop a technique which can recognize input in the form of various grasp types by recognizing their gesture sequence. We introduce a prototype using electromyography signals and report the results of a user study to validate the proposed technique for interactions in hands-busy situations and evaluate the recognition accuracy of the user gestures. The results demonstrate that our proposed technique showed 93.13% average accuracy for basic grasp types according to a classic taxonomy of grasping. We also discuss the findings of the user study and perspectives for the practical application of the proposed technique.