ME-BATNet: A Lightweight Multi-Task Edge Intelligence Network for Real-Time Badminton Stroke Recognition and Shuttlecock Trajectory Tracking on Mobile Devices
Mobile badminton video analysis faces three coupled challenges: fine-grained strokes differ mainly in brief local body motions, the high-speed shuttlecock is easily degraded by motion blur and occlusion, and cascaded task-specific models impose excessive latency and energy overhead on mobile devices. To address these i...