Hear the Sweet Spot: Tennis Impact Localization via Single-Channel Audio
A sound-sensor-based multi-task framework for racket impact localization using acoustic signals, combining radial region classification with continuous position regression, and a multi-expert convolutional neural network architecture with multi-scale feature extraction and task-specific optimization is proposed.