Hotel Renaissance, Kuala Lumpur, Malaysia 30th September to 2nd October 2025
Jonathan Jing Wei Lim, Muhammad Aniq Arsyad Fakhrullah B. Bujang, Ann Annabella Anak Nain, Muhammad Sulaiman bin Mohammad Jauhari, Jin Seng Thung, Jianhong Gao, Noor Azilah Aziz, Halijah Ibrahim, Nur Fatihah Raimi, Rosdara Masayuni Binti Mohd Sani, Wei Lyng Chen

TL;DR
The paper explores AI in sports for injury prevention, netball defensive skills, para-swimming classification, MIT in tennis, and fall risk in older adults.
Contribution
The study introduces age-specific injury risk analysis using AI and validates a defensive skill checklist for netball.
Findings
Children and middle-aged adults showed higher injury risks compared to adults.
A video-based defensive skill checklist was validated for netball.
Motor Imagery Training improves tennis serve performance in young players.
Abstract
Artificial intelligence (AI) in sports enhances performance analysis and injury prevention through real-time movement tracking and personalized training. However, AI-informed injury risk data across age groups remain limited. This study evaluated exercise-related injury risks across different age groups using AI-based functional movement screening. Fifty-five volunteers were categorized into four age groups: Children (C-A, 8–14 years, n = 18), Youth (Y-A, 15–24 years, n = 15), Adults (A-A, 25–44 years, n = 10), and Middle-aged Adults (M-A, 45–53 years, n = 12). Participants performed video-guided functional movement exercises using 3D biomechanical screening (HoloMotion, Beijing, China) during the SportExcel Swimming Circuit, Leg1 (Malaysia, 2025). Demographic data were collected with informed consent. Injury risk scores were compared across age groups using Multivariate ANOVA…
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Taxonomy
TopicsSports Performance and Training · Knee injuries and reconstruction techniques · Winter Sports Injuries and Performance
