Development of Hand Grip Assistive Device Control System for Old People through Electromyography (EMG) Signal Acquisitions

Herman Khamis, Shahrol Mohamaddan, Takashi Komeda, Aidil Azli Alias, Shirley Jonathan Tanjong, Norhuzaimin Julai, Nurul Izzati Hashim

Research output: Contribution to journalConference articlepeer-review

Abstract

The hand grip assistive device is a glove to assist old people who suffer from hand weakness in their daily life activities. The device earlier control system only use simple on and off switch. This required old people to use both hand to activate the device. The new control system of the hand grip assistive device was developed to allow single hand operation for old people. New control system take advantages of electromyography (EMG) and flex sensor which was implemented to the device. It was programmed into active and semi-active mode operation. EMG sensors were placed on the forearm to capture EMG signal of Flexor Digitorum Profundus muscle to activate the device. Flex sensor was used to indicate the finger position and placed on top of the finger. The signal from both sensors then used to control the device. The new control system allowed single hand operation and designed to prevent user from over depended on the device by activating it through moving their fingers.

Original languageEnglish
Article number02032
JournalMATEC Web of Conferences
Volume87
DOIs
Publication statusPublished - 2017
Event9th International Unimas Stem Engineering Conference, ENCON 2016 - Kuching, Sarawak, Malaysia
Duration: 2016 Oct 262016 Oct 28

ASJC Scopus subject areas

  • Chemistry(all)
  • Materials Science(all)
  • Engineering(all)

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