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An exploratory comparative analysis of kinematic characteristics in two elite Chinese show jumping riders
Abstract Background: Three-dimensional rider kinematics across jumping phases and obstacle heights remain sparsely documented in elite Chinese show jumping. This exploratory case study examined angle-related kinematic characteristics in two elite Chinese riders under field-based jumping conditions.
Spatiotemporal skeleton based learning for automatic exercise quality assessment and real time posture correction
Abstract Background: Home-based fitness training requires automated systems for exercise quality assessment and real-time posture correction without professional supervision. Purpose: We develop an AI-powered virtual fitness system using spatiotemporal skeleton analysis for automatic exercise quality assessment. Methods: We propose Anatomical-Prior Sparse Attention (APSA), integrating biomechanical constraints into graph neural networks.
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