An Analysis of Human Motion for Control of a Wearable Power Assist System | Zendy

Satoshi Kawai | Zendy; Keitaro Naruse | Zendy; Hiroshi Yokoi | Zendy; Yukinori Kakazu | Zendy

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An Analysis of Human Motion for Control of a Wearable Power Assist System

Author(s) -

Satoshi Kawai,

Keitaro Naruse,

Hiroshi Yokoi,

Yukinori Kakazu

Publication year - 2004

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.2004.p0237

Subject(s) - wearable computer , lift (data mining) , computer science , human motion , motion (physics) , power (physics) , motion control , control (management) , control system , wearable technology , human–computer interaction , simulation , control engineering , artificial intelligence , embedded system , engineering , electrical engineering , robot , physics , quantum mechanics , data mining

The purpose of this study is to build a control system for a wearable power assisting device, which helps people with lifting heavy things, like a person who can’t move alone in daily life. When we lift something heavy, we use both hands. That’s why a control system that can automatically switch on/off without using hands is necessary. In this study, we analyze human lifting up motion, and reveal characteristics of the motion, to find the suitable timing for switching the wearable power assisting device. Results show that the automatic switching can be realized.

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