适用于严重运动功能障碍患者的模块化手势界面：足部识别

Modular Gesture Interface for People with Severe Motor Dysfunction: Foot Recognition.

作者信息

Yoda Ikushi, Ito Kazuyuki, Nakayama Tsuyoshi

机构信息

Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Japan.

Research Institute, National Rehabilitation Center for Persons with Disabilities (NRCD), Japan.

出版信息

Stud Health Technol Inform. 2017;242:725-732.

PMID:28873877

Abstract

We have collected various gestures from persons with motor dysfunction who cannot use normal interface switches to develop contactless, non-constraining, and inexpensive gesture interfaces for operating PCs by utilizing a commercially available image range sensor. We describe the collection and classification of the gestures and the foot gesture recognition module.

摘要

我们从无法使用普通接口开关的运动功能障碍患者那里收集了各种手势，通过利用市售的图像距离传感器，开发出用于操作个人电脑的非接触式、无约束且低成本的手势界面。我们描述了手势的收集与分类以及脚部手势识别模块。