Suppr超能文献

基于实时声带振动检测的增强型通信。

Augmentative communication based on realtime vocal cord vibration detection.

机构信息

Bloorview Research Institute/Bloorview Kids Rehab, Toronto, ON, Canada.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2010 Apr;18(2):159-63. doi: 10.1109/TNSRE.2009.2039593. Epub 2010 Jan 12.

Abstract

A binary switch based on the detection of periodic vocal cord vibrations is proposed for individuals with multiple and severe disabilities. The system offers three major advantages over existing speech-based access technologies, namely, insensitivity to environment noise, increased robustness against user-generated artifacts such as coughs, and reduced exertion during prolonged usage periods. The proposed system makes use of a dual-axis accelerometer placed noninvasively in proximity of the vocal cords by means of a neckband. Periodic vocal cord vibrations are detected using the normalized cross-correlation function computed from anterior-posterior and superior-inferior accelerometry signals. Experiments with a participant with hypotonic cerebral palsy show the proposed system outperforming a popular commercial sound-based system in terms of sensitivity, task time, and user-perceived exertion.

摘要

提出了一种基于周期性声带振动检测的二进制开关,供多重和严重残疾的个体使用。与现有的基于语音的接入技术相比,该系统具有三大优势,即对环境噪声不敏感、对用户产生的伪影(如咳嗽)具有更高的鲁棒性,以及在长时间使用期间减少用力。所提出的系统使用双轴加速度计,通过颈带无创地放置在声带附近。使用从前到后和从上到下的加速度计信号计算归一化互相关函数来检测周期性声带振动。使用患有张力减退性脑瘫的参与者进行的实验表明,与流行的商用基于声音的系统相比,所提出的系统在灵敏度、任务时间和用户感知的用力方面表现更好。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验