VR-Shuttlecock: Toward Enhancing Older Adults' Balance Through Kicking Shuttlecock in VR with Multi-Sensory Feedback

The decline in balance among older adults is a pressing public health issue that significantly impacts their well-being and independence. While traditional balance training methods are effective, they often face challenges with adherence, particularly among those living alone. Virtual reality (VR) presents a promising solution through immersive and gamified experiences. Although some VR exergames have shown potential for improving balance, their long-term effectiveness remains uncertain due to a lack of fundamental exercise principles and complexities that may hinder sustained engagement. To address these challenges, we developed VR-Shuttlecock, a customized VR exergame that incorporates shuttlecock kicking. This game features effective leg exercises, diverse gamification designs, progressive difficulty levels, and protection measures to promote long-term participation while minimizing fall risks. The VR environment enables home-based exercise free from weather constraints and offers social interaction with virtual characters to reduce loneliness. In a four-week controlled study, 14 older adults trained with VR-Shuttlecock, while 13 in the control group received no intervention. The experimental group demonstrated significant improvements in four balance assessments (SLST, TUG, FRT, and YBT) and expressed positive attitudes toward continued training. These findings highlight the potential of VR-Shuttlecock as an effective, engaging, and safe balance training tool for older adults.

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Publication Details

Journal
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Published
2025-12-02
DOI
https://doi.org/10.1145/3770691
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
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article

VR-Shuttlecock: Toward Enhancing Older Adults' Balance Through Kicking Shuttlecock in VR with Multi-Sensory Feedback

Mingshuo Li, Mingming Fan, Chutian Jiang, Yanmei Liang et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Balance, Gait, and Falls Prevention
article

VR-Shuttlecock: Toward Enhancing Older Adults' Balance Through Kicking Shuttlecock in VR with Multi-Sensory Feedback

Mingshuo Li, Mingming Fan, Chutian Jiang, Yanmei Liang, Qianjie Wei, Fan Lin
article en

Abstract

The decline in balance among older adults is a pressing public health issue that significantly impacts their well-being and independence. While traditional balance training methods are effective, they often face challenges with adherence, particularly among those living alone. Virtual reality (VR) presents a promising solution through immersive and gamified experiences. Although some VR exergames have shown potential for improving balance, their long-term effectiveness remains uncertain due to a lack of fundamental exercise principles and complexities that may hinder sustained engagement. To address these challenges, we developed VR-Shuttlecock, a customized VR exergame that incorporates shuttlecock kicking. This game features effective leg exercises, diverse gamification designs, progressive difficulty levels, and protection measures to promote long-term participation while minimizing fall risks. The VR environment enables home-based exercise free from weather constraints and offers social interaction with virtual characters to reduce loneliness. In a four-week controlled study, 14 older adults trained with VR-Shuttlecock, while 13 in the control group received no intervention. The experimental group demonstrated significant improvements in four balance assessments (SLST, TUG, FRT, and YBT) and expressed positive attitudes toward continued training. These findings highlight the potential of VR-Shuttlecock as an effective, engaging, and safe balance training tool for older adults.

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous TechnologiesVol. 9(4)
Hong Kong University of Science and Technology (HK), University of Rochester (US), University of Hong Kong (HK)
Openalex Percentile: Top 44%
Balance, Gait, and Falls Prevention
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