Instruction Recognition Used Gaze and EMG Information for Omni-directional Wheelchair

Instruction Recognition Used Gaze and EMG Information for Omni-directional Wheelchair
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全向轮椅指令识别使用注视和肌电信息

DOI:
10.1109/fuzz-ieee.2017.8015492
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发表时间:
2017
期刊:
Proceedings of 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017)
影响因子:
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通讯作者:
Yoichiro Maeda
Yoichiro Maeda
中科院分区:
--
文献类型:
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作者:
田代祐樹;磯貝浩久;堀尾恵一;堀尾恵一;堀尾恵一;福田量;堀尾恵一;森逸平;Yuji Watanabe;Ippei Mori;前田陽一郎;前田陽一郎;Yoichiro Maeda;Yoichiro Maeda

文献摘要

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近年来,针对残疾人和老年人的护理和福利机器人的开发已经取得进展。通过使用操作者的生物信息将人类意图传递给机器人的方法的研究正在进行中。在这项研究中,我们提出了一种方法来执行的全方位轮椅的机车控制的凝视指令系统的基础上,通过使用模糊推理估计的人的意图,和一个指令系统,使用肌电图(EMG)的操作员的前臂和模糊推理。我们使用凝视和肌电测量装置进行了操作实验,我们证实了操作者可以根据他/她的指令执行轮椅的移动控制。
In recent years, the development of nursing and welfare robots intended for people with disabilities and elderly has been advanced. The research of the method to transmit human intentions to the robot by using the biological information of the operator is proceeding. In this research we propose a method to perform the locomotive control of omnidirectional wheelchair by a gaze instruction system based on the human intention estimated by using fuzzy reasoning, and an instruction system using electromyogram(EMG) of operator's forearm and fuzzy reasoning. We performed the operating experiment using gaze and EMG measurement device, and we confirmed that the operator can perform the moving control of wheelchair according to his/her instructions.