Design and development of wearable human activity recognition for heatlhcare monitoring

This research deals with a development of wearable sensoring system for human activity recognition focusing on hand and leg assessments. The research attempts to sufficiently recognize the motion to provide physiotherapist about the patient condition in remote area. The system is designed by applyin...

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Main Authors:	Hamzah, Ahmad, Nurul Syafiqah, Mohd, Nur Aqilah, Othman, Mohd Mawardi, Saari
Format:	Conference or Workshop Item
Language:	English English
Published:	2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/26853/ http://umpir.ump.edu.my/id/eprint/26853/1/77.%20Design%20and%20development%20of%20wearable%20human%20activity.pdf http://umpir.ump.edu.my/id/eprint/26853/2/77.1%20Design%20and%20development%20of%20wearable%20human%20activity.pdf

id	ump-26853
recordtype	eprints
spelling	ump-268532020-03-19T07:09:43Z http://umpir.ump.edu.my/id/eprint/26853/ Design and development of wearable human activity recognition for heatlhcare monitoring Hamzah, Ahmad Nurul Syafiqah, Mohd Nur Aqilah, Othman Mohd Mawardi, Saari TK Electrical engineering. Electronics Nuclear engineering This research deals with a development of wearable sensoring system for human activity recognition focusing on hand and leg assessments. The research attempts to sufficiently recognize the motion to provide physiotherapist about the patient condition in remote area. The system is designed by applying Arduino as the main controller with the help of accelerometer to identify human movements and then classifying them into soft, medium and hard motions categories. From the research, data acquired from the assesment is then imported into Microsoft Excel by using Guino software to describe the human motions. The accelerometer sensors are placed as follows; the on the right hand for three position which are on the wrist, on the elbow and on the shoulder. Meanwhile on right leg for three position which is in tight, calf and ankle. Experimental results show that the proposed system is capable to provide reliable information to both patient and physiotherapist about the motions. The recognition for the activity is based on physiotherapist consultation which provides early descriptions of human various activities using hands and legs. The proposed system can be applied for rehabilitation and monitoring system to realize a home-based smart monitoring and assessment system. 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26853/1/77.%20Design%20and%20development%20of%20wearable%20human%20activity.pdf pdf en http://umpir.ump.edu.my/id/eprint/26853/2/77.1%20Design%20and%20development%20of%20wearable%20human%20activity.pdf Hamzah, Ahmad and Nurul Syafiqah, Mohd and Nur Aqilah, Othman and Mohd Mawardi, Saari (2019) Design and development of wearable human activity recognition for heatlhcare monitoring. In: 3rd National Conference on Wind and Earthquake Engineering & International Seminar on Sustainable Construction Engineering, 12-13 July 2019 , Impiana KLCC Hotel, Kuala Lumpur. pp. 1-11.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Hamzah, Ahmad Nurul Syafiqah, Mohd Nur Aqilah, Othman Mohd Mawardi, Saari Design and development of wearable human activity recognition for heatlhcare monitoring
description	This research deals with a development of wearable sensoring system for human activity recognition focusing on hand and leg assessments. The research attempts to sufficiently recognize the motion to provide physiotherapist about the patient condition in remote area. The system is designed by applying Arduino as the main controller with the help of accelerometer to identify human movements and then classifying them into soft, medium and hard motions categories. From the research, data acquired from the assesment is then imported into Microsoft Excel by using Guino software to describe the human motions. The accelerometer sensors are placed as follows; the on the right hand for three position which are on the wrist, on the elbow and on the shoulder. Meanwhile on right leg for three position which is in tight, calf and ankle. Experimental results show that the proposed system is capable to provide reliable information to both patient and physiotherapist about the motions. The recognition for the activity is based on physiotherapist consultation which provides early descriptions of human various activities using hands and legs. The proposed system can be applied for rehabilitation and monitoring system to realize a home-based smart monitoring and assessment system.
format	Conference or Workshop Item
author	Hamzah, Ahmad Nurul Syafiqah, Mohd Nur Aqilah, Othman Mohd Mawardi, Saari
author_facet	Hamzah, Ahmad Nurul Syafiqah, Mohd Nur Aqilah, Othman Mohd Mawardi, Saari
author_sort	Hamzah, Ahmad
title	Design and development of wearable human activity recognition for heatlhcare monitoring
title_short	Design and development of wearable human activity recognition for heatlhcare monitoring
title_full	Design and development of wearable human activity recognition for heatlhcare monitoring
title_fullStr	Design and development of wearable human activity recognition for heatlhcare monitoring
title_full_unstemmed	Design and development of wearable human activity recognition for heatlhcare monitoring
title_sort	design and development of wearable human activity recognition for heatlhcare monitoring
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26853/ http://umpir.ump.edu.my/id/eprint/26853/1/77.%20Design%20and%20development%20of%20wearable%20human%20activity.pdf http://umpir.ump.edu.my/id/eprint/26853/2/77.1%20Design%20and%20development%20of%20wearable%20human%20activity.pdf
first_indexed	2023-09-18T22:42:04Z
last_indexed	2023-09-18T22:42:04Z
_version_	1777416981222260736

Design and development of wearable human activity recognition for heatlhcare monitoring

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