人体行走力鞋ZMP测量系统

Q3 Computer Science

International Journal of Intelligent Systems Technologies and Applications Pub Date : 2008-12-01 DOI:10.1504/IJISTA.2010.030200

Fu Chunqian, Wang Xingsong

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引用次数: 1

摘要

介绍了一种测量人体行走零力矩点(ZMP)的力鞋系统，该系统可以测量人体行走时足底分布的法向力和摩擦力。本文提出的改进的ZMP计算方法易于编程。与以往的ZMP测量方法相比，本文提出的力鞋系统具有结构新颖、轻便、低耦合、易于编程、对正常行走影响小、适合长时间和多种地形测试等优点。本文介绍了在平原和斜坡两种不同地形上进行的试验，并对其中的一些结果进行了说明和讨论。

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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Force-shoes ZMP measuring system for human walker

A novel force-shoes system for measuring the zero moment point (ZMP) of human walker is introduced in this paper, which could measure the plantar distributed normal forces and friction forces during human walking. The improved ZMP calculation method developed in this paper is easy for programming. In contrast with the previous ZMP measuring methods, there are many advantages of the proposed force-shoes system, for example, light and novel structured, low coupling, easy for programming, less affection on normal walking, suited for long-time and diverse terrains testing. Two experiments carried out on different terrains, one is on the plain and the other is on the slope, are presented in this paper and some of the results are shown and discussed.

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来源期刊

International Journal of Intelligent Systems Technologies and Applications Computer Science-Computer Science (all)

CiteScore

1.30

自引率

0.00%

发文量

期刊介绍： Intelligent systems refer broadly to computer embedded or controlled systems, machines and devices that possess a certain degree of intelligence. IJISTA, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems. Its coverage also includes papers on intelligent systems applications in areas such as manufacturing, bioengineering, agriculture, services, home automation and appliances, medical robots and robotic rehabilitations, space exploration, etc. Topics covered include: -Robotics and mechatronics technologies- Artificial intelligence and knowledge based systems technologies- Real-time computing and its algorithms- Embedded systems technologies- Actuators and sensors- Mico/nano technologies- Sensing and multiple sensor fusion- Machine vision, image processing, pattern recognition and speech recognition and synthesis- Motion/force sensing and control- Intelligent product design, configuration and evaluation- Real time learning and machine behaviours- Fault detection, fault analysis and diagnostics- Digital communications and mobile computing- CAD and object oriented simulations.