Classifying Physical Activity Levels in Early Childhood Using Actigraph and Machine Learning Method

Syifa Wandani, - (2023) Classifying Physical Activity Levels in Early Childhood Using Actigraph and Machine Learning Method. S1 thesis, Universitas Pendidikan Indonesia.

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Abstract

Actigraph is a widely used accelerometer for classifying physical activity levels in children, adolescents, adults, and older people. The classification of physical activity levels on Actigraph is determined through time calculations using cut-point formulas. The study aims to classify physical activity in young children according to the World Health Organization (WHO) guidelines using accelerometer data and machine learning methods. The study involved 52 young children (26 girls and 26 boys) aged 4 to 5 years in West Java, with an average age of 4.58 years. These early childhood physical activity and sedentary behaviours were simultaneously recorded using the Actigraph GT3X accelerometer for seven days. The data from the Actigraph were analyzed using two algorithm models: the decision tree and support vector machine, with the Rapidminer application. The results from the decision tree model show a classification accuracy of 96.00% in categorizing physical activities in young children. On the other hand, the support vector machine model achieved an accuracy of 84.67% in classifying physical activities in young children. The decision tree outperforms the support vector machine in accurately classifying physical activities in early childhood. This research highlights the potential benefits of machine learning in sports and physical activity sciences, indicating the need for further development.

Item Type:	Thesis (S1)
Additional Information:	https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=ln0lwwoAAAAJ ID Sinta Dosen Pembimbing : Adang Suherman : 5989871 Jajat : 6002301
Uncontrolled Keywords:	decision tree; physical activity; PA level; support vector machine
Subjects:	G Geography. Anthropology. Recreation > GV Recreation Leisure L Education > L Education (General) L Education > LB Theory and practice of education
Divisions:	Fakultas Pendidikan Olahraga dan Kesehatan > Jurusan Pendidikan Kesehatan dan Rekreasi > Program Studi IKOR
Depositing User:	Syifa Wandani
Date Deposited:	12 Feb 2024 06:50
Last Modified:	12 Feb 2024 06:50
URI:	http://repository.upi.edu/id/eprint/115070

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