用于捕捉和分类身体姿势及手势的可穿戴动觉系统。

Wearable kinesthetic systems for capturing and classifying body posture and gesture.

作者信息

Tognetti Alessandro, Lorussi Federico, Tesconi Mario, Bartalesi Raphael, Zupone Giuseppe, De Rossi Danilo

机构信息

Faculty of Engineering, Interdepartmental Research Center E. Piaggio, University of Pisa, Via Diotisalvi 2, Pisa, Italy, Email:

出版信息

Conf Proc IEEE Eng Med Biol Soc. 2005;2006:1012-5. doi: 10.1109/IEMBS.2005.1616589.

DOI:10.1109/IEMBS.2005.1616589

PMID:17282358

Abstract

Monitoring body kinematics has fundamental relevance in several biological and technical disciplines. In particular the possibility to know the posture exactly may furnish a main aid in rehabilitation topics. This paper deals with the design, the development and the realization of sensing garments, from the characterization of innovative comfortable and spreadable sensors to the methodologies employed to gather information on posture and movement. In the present work an upper limb kinesthetic garment (ULKG), which allows to reconstruct shoulder, elbow and wrist movements and a kinesthetic glove able to detect posture an gesture of the hand are presented. Sensors are directly integrated in Lycra fabrics by using conductive elastomer (CE) sensors. CE sensors show piezoresistive properties when a deformation is applied and they can be integrated onto fabric or other flexible substrate to be employed as strain sensors.

摘要

监测人体运动学在多个生物学和技术学科中具有根本重要性。特别是精确了解姿势的可能性可为康复课题提供主要帮助。本文涉及传感服装的设计、开发和实现，从创新的舒适且可延展传感器的特性，到用于收集姿势和运动信息的方法。在当前工作中，展示了一种上肢动觉服装（ULKG），它能够重建肩部、肘部和腕部的运动，以及一种能够检测手部姿势和手势的动觉手套。传感器通过使用导电弹性体（CE）传感器直接集成到莱卡面料中。当施加变形时，CE传感器显示出压阻特性，并且它们可以集成到织物或其他柔性基板上，用作应变传感器。