Detection and Analysis of Activity Recognition for Hand Rehabilitation

Hamzah, Ahmad and Nurul Atikah , Mohd Nor (2017) Detection and Analysis of Activity Recognition for Hand Rehabilitation. In: 8TH IEEE Control And System Graduate Research Colloquium (ICSGRC 2017) , 4-5 August 2017 , Grand Blue Wave Hotel, Shah Alam, Selangor. pp. 246-250.. ISBN 9781538603802

	PDF Detection and Analysis of Activity Recognition for Hand Rehabilitation.pdf - Published Version Restricted to Repository staff only Download (1MB) | Request a copy
Preview	PDF Detection and Analysis of Activity Recognition for Hand Rehabilitation 1.pdf - Published Version Download (79kB) | Preview

Abstract

This paper deals with detection and analysis of hand activity recognition for rehabilitation purposes. The research attempts to analyze human hand movements analysis based that can aid medical institution in providing a better hand angle measurements for some identified movements. Three axis accelerometer sensors which are placed on particular positons on hand are used to observe the hand movements and then the results are visually presented to analyze the hand conditions. The hand movements can be further used to be characterized either on soft, medium or hard motions as these aspects are influential to realize real-time health monitoring system especially for elderly person.

Item Type:	Conference or Workshop Item (Speech)
Additional Information:	Proceeding index by Scopus
Uncontrolled Keywords:	Detection; Activity recognition; Hand movement; Characterization
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	07 Feb 2018 08:20
Last Modified:	07 Feb 2018 08:20
URI:	http://umpir.ump.edu.my/id/eprint/19297
Download Statistic:	View Download Statistics

Actions (login required)

View Item