Abstract
Staying physically and mentally healthy is important for the elderly individuals. In this paper, we propose a computer vision video game that allows the user to exercise their hands by raising their hands above their shoulders. The video game we designed uses a laptop with a webcam and employs computer vision to track the elderly wrist’s to be above the shoulder and it has a counter that keep track of the number of times the user raises the hand. This type of game is suitable for elderly individuals with legs mobility issue and are home-bound. The users can sit down to play the game and that can help to improve the agility of the hands by making hand movements. This paper discusses the special specifications required by elderly individuals and that encompasses usability, accessibility, and engagement. A simple and easy to navigate interface is necessary. The font size and a high visual contrast page with recognisable objects should make it more accommodating for ageing eyesight. There should be clarity in the game audio. The game control options (such as mouse, keyboard) should be easy to use. The game content needs to be engaging and not too complicated for the elderly. For exercise game that requires spatial awareness keeps the agility in the elderly. By taking turns to play this game, the elderly individuals can better connect and socialise with their friends and family. Players can try to improve on their game scores and outperform one another.
Author Information
June Tay, Singapore University of Social Sciences, Singapore
Ivy Chia, Singapore University of Social Sciences, Singapore
Paper Information
Conference: EGen2023
Stream: Resilience
This paper is part of the EGen2023 Conference Proceedings (View)
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To cite this article:
Tay J., & Chia I. (2023) Computer Vision Based Video Game to Enhance Agility for Elderly Individuals ISSN: 2435-4937 The European Conference on Aging & Gerontology 2023: Official Conference Proceedings https://doi.org/10.22492/issn.2435-4937.2023.13
To link to this article: https://doi.org/10.22492/issn.2435-4937.2023.13
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