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Automatic table tennis scoring system based on smart wearable devices

Authors
Noh, S.Lee, Y.Kim, Y.Cho, J.Choi, A.
Issue Date
2018
Publisher
IADIS
Keywords
Activity recognition; FFT; Table tennis; Wearable device
Citation
MCCSIS 2018 - Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2018, Game and Entertainment Technologies 2018 and Computer Graphics, Visualization, Computer Vision and Image Processing 2018, v.2018-July, pp.429 - 431
Journal Title
MCCSIS 2018 - Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2018, Game and Entertainment Technologies 2018 and Computer Graphics, Visualization, Computer Vision and Image Processing 2018
Volume
2018-July
Start Page
429
End Page
431
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4324
ISSN
0000-0000
Abstract
Recently people's interests in health care are increasing, and many wearable device manufacturers have released various kind of fitness trackers for exercises and activities. However, most of them are focused on personal activities not on group activities. In this paper, we propose a system that automatically scores a table tennis game by using smartwatches and smartphones. The system analyses sensor data from the smartwatches, detects sound of a ball and calculates scores based on table tennis scoring algorithm. To evaluate the system, we collected 521 swing data and 50 ball sound data from 5 people, and the accuracy was 97.8%(510/521) and 82%(41/50), respectively. We expect that this system can be applied in a wide range of group activities with a low expense. © 2018.
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