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Wearables like smartwatches which are embedded with sensors and powerfulprocessors, provide a strong platform for development of analytics solutions insports domain. To analyze players' games, while motion sensor based shotdetection has been extensively studied in sports like Tennis, Golf, Baseball;Table Tennis and Badminton are relatively less explored due to possible lessintense hand motion during shots. In our paper, we propose a novel,computationally inexpensive and real-time system for shot detection in tabletennis, based on fusion of Inertial Measurement Unit (IMU) and audio sensordata embedded in a wrist-worn wearable. The system builds upon our presentedmethodology for synchronizing IMU and audio sensor input in time using detectedshots and achieves 95.6% accuracy. To our knowledge, it is the firstfusion-based solution for sports analysis in wearables. Shot detectors forother racquet sports as well as further analytics to provide features like shotclassification, rally analysis and recommendations, can easily be built overour proposed solution.

Wearable Audio and IMU Based Shot Detection in Racquet Sports