Ergonomic Low Cost Motion Capture for every day health exercise

D. Majoe, Michel Estermann, Nicola Ranieri, J. Gutknecht
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引用次数: 6

Abstract

Pervasive applications often require context information about the posture, ambulatory and work activity of the user. This paper reports ongoing work on the development of a low cost ergonomic approach to motion capture that provides the opportunity to examine diverse body movement in home and office environments. In this research case it is applied to the automatic training of Tai Ji Quan at different levels of complexity. Results of the sensor design, communications architecture and human body computer motion modeling are presented.
人体工程学低成本动作捕捉每天的健康锻炼
普遍的应用程序通常需要关于用户的姿势、走动和工作活动的上下文信息。本文报道了一种低成本的人体工程学方法的发展,该方法为在家庭和办公室环境中检查不同的身体运动提供了机会。本研究将其应用于不同复杂程度的太极拳自动训练中。给出了传感器设计、通信体系结构和人体计算机运动建模的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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