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

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.