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International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
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meem_contribute@163.com
MA Xufeng, WANG Ying
(Faculty of Mechanical Engineering & Automation, Zhejiang SciTech University, Hangzhou 310018, China)
Abstract: Aiming at the inconvenient walking problems of the handicapped and the elderly, the 3D model design and production, sole pressure detection, multisensor data fusion, etc. were studied, and building the sensor system , algorithms for detecting and determining the intent of human walking were summarized. Finally, an assisted walking exoskeleton robot system based on STM32 ARM CortexM3 core MCU technology , etc. were proposed. And the identifying the intent efficiency and the assisted walking effect test were performed.The results indicate that the system can detect the user's physical movement parameters in real time and store them, and can realize multiple functions such as intelligent detection, intention recognition, and walking assistance. The preset gait trajectory algorithm can be used to assist walking. The system is comfortable to wear, responsive, reliable.
Key words: exoskeleton robot; multisensor fusion; walk training; identify the intent; preset gait trajectory algorithml