start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=1
article-no=
start-page=25
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250115
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Investigation of Hand Gestures for Controlling Video Games in a Rehabilitation Exergame System
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Musculoskeletal disorders (MSDs) can significantly impact individuals' quality of life (QoL), often requiring effective rehabilitation strategies to promote recovery. However, traditional rehabilitation methods can be expensive and may lack engagement, leading to poor adherence to therapy exercise routines. An exergame system can be a solution to this problem. In this paper, we investigate appropriate hand gestures for controlling video games in a rehabilitation exergame system. The Mediapipe Python library is adopted for the real-time recognition of gestures. We choose 10 easy gestures among 32 possible simple gestures. Then, we specify and compare the best and the second-best groups used to control the game. Comprehensive experiments are conducted with 16 students at Andalas University, Indonesia, to find appropriate gestures and evaluate user experiences of the system using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ). The results show that the hand gestures in the best group are more accessible than in the second-best group. The results suggest appropriate hand gestures for game controls and confirm the proposal's validity. In future work, we plan to enhance the exergame system by integrating a diverse set of video games, while expanding its application to a broader and more diverse sample. We will also study other practical applications of the hand gesture control function.
en-copyright=
kn-copyright=

en-aut-name=HusnaRadhiatul
en-aut-sei=Husna
en-aut-mei=Radhiatul
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=AnggrainiIrin Tri
en-aut-sei=Anggraini
en-aut-mei=Irin Tri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=RahmadaniAlfiandi Aulia
en-aut-sei=Rahmadani
en-aut-mei=Alfiandi Aulia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=FanChih-Peng
en-aut-sei=Fan
en-aut-mei=Chih-Peng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Electrical Engineering, State Polytechnic of Malang
kn-affil=

affil-num=6
en-affil=Department of Electrical Engineering, National Chung Hsing University
kn-affil=
en-keyword=hand gesture
kn-keyword=hand gesture
en-keyword=application control
kn-keyword=application control
en-keyword=exergame
kn-keyword=exergame
en-keyword=SUS
kn-keyword=SUS
en-keyword=UEQ
kn-keyword=UEQ
en-keyword=python
kn-keyword=python
en-keyword=mediapipe
kn-keyword=mediapipe
END