This special issue will cover the application of markerless motion analysis in sport and exercise science research. Traditional methods for the analysis of human movement involve the use of cameras designed to assist with the identification of markers attached to specific anatomical landmarks. The use of markers requires training to ensure that equipment is configured and used properly. The correct identification of anatomical landmarks also requires extensive training and increases the preparation time for participants before data collection. Recent developments in artificial intelligence have enabled training of neural networks to automatically identify key points in the body that could serve as surrogate locations for anatomical landmarks. However, further research is required to explore their validity, reliability and application to sport and exercise. This special issue aims to capture papers that demonstrate one or more of these components and to inform practitioners. We understand that this theme aligns with the Journal of Sports Sciences` aims and scope around applied sport and exercise. The relevance is clear in the area of Sports Medicine and Biomechanics, but application to Sport Performance is also evident through movement optimisation and performance implications.
© Copyright 2024 Journal of Sports Sciences. Taylor & Francis. Alle Rechte vorbehalten.