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