Optimizing gesture recognition system design

Research published in the International Journal of the Digital Human reveals a new model for computerized human gesture recognition. The tool, VirSen1.0, developed by Kana Matsuo, Chengshuo Xia, and Yuta Sugiura of the Department of Information and Computer Science at Keio University in Yokohama, Japan uses cutting-edge sensor simulation and user-centric design to overcome various obstacles and open up new ways for people to interact with technology.

computer computer science design digital digital human edge gesture recognition hi tech & innovation human information international japan recognition research science sensor simulation tool university