Evaluation of perception-assist with an upper-limb power-assist exoskeleton using EMG and EEG signals

Thilina Dulantha Lalitharatne, Kenbu Teramoto, Yoshiaki Hayashi, Kazuo Kiguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

The concept of perception assist has been proposed to assist not only the daily motion but also to safely interact with an environment, by applying a modification force to the user's motion in upper-limb power-assist exoskeleton robots. As it is complicated for the exoskeleton to prepare all proper perception-assist for every task, tool, and environment, the exoskeleton robots needs to learn the proper perception-assist for each task, tool and environment by itself. In this process, the evaluation of the performed perception assist is important, because not only can the results be used in the learning process of the perception assist but also it would help to avoid mistaken perception assist commands if there are any. One way of evaluating the performed perception-assist of the exoskeleton is using Electromyography (EMG) signals. However, if the EMG signals do not change adequately for a judgment, the learning of the robot might not succeed. In this context, this paper presents an attempt to use both Electroencephalography (EEG) and EMG signals to evaluate the performed perception assist in the upper-limb power-assist exoskeleton robots. The effectiveness of the proposed method is experimentally evaluated.

Original languageEnglish
Title of host publicationProceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014
PublisherIEEE Computer Society
Pages524-529
Number of pages6
ISBN (Print)9781479931064
DOIs
Publication statusPublished - Jan 1 2014
Event11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014 - Miami, FL, United States
Duration: Apr 7 2014Apr 9 2014

Publication series

NameProceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014

Other

Other11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014
CountryUnited States
CityMiami, FL
Period4/7/144/9/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Evaluation of perception-assist with an upper-limb power-assist exoskeleton using EMG and EEG signals'. Together they form a unique fingerprint.

Cite this