Suppr超能文献

构建基于表面肌电图的强大手势界面的可行性。

Feasibility of building robust surface electromyography-based hand gesture interfaces.

作者信息

Xiang Chen, Lantz Vuokko, Kong-Qiao Wang, Zhang-Yan Zhao, Xu Zhang, Ji-Hai Yang

机构信息

Electronic Science & Technology Dept. University of Science & Technology of China, PRC.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2983-6. doi: 10.1109/IEMBS.2009.5332524.

Abstract

This study explored the feasibility of building robust surface electromyography (EMG)-based gesture interfaces starting from the definition of input command gestures. As a first step, an offline experimental scheme was carried out for extracting user-independent input command sets with high class separability, reliability and low individual variations from 23 classes of hand gestures. Then three types (same-user, multi-user and cross-user test) of online experiments were conducted to demonstrate the feasibility of building robust surface EMG-based interfaces with the hand gesture sets recommended by the offline experiments. The research results reported in this paper are useful for the development and popularization of surface EMG-based gesture interaction technology.

摘要

本研究从输入命令手势的定义出发,探讨了构建基于表面肌电图(EMG)的稳健手势界面的可行性。第一步,开展了一项离线实验方案,用于从23类手部手势中提取具有高类别可分离性、可靠性和低个体差异的用户无关输入命令集。然后进行了三种类型(同一用户、多用户和跨用户测试)的在线实验,以证明使用离线实验推荐的手势集构建基于表面肌电图的稳健界面的可行性。本文报道的研究结果对于基于表面肌电图的手势交互技术的开发和推广具有重要意义。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验