IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
Low-Cost Method for Recognizing Table Tennis Activity
Se-Min LIMJooyoung PARKHyeong-Cheol OH
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2019 Volume E102.D Issue 10 Pages 2051-2054

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Abstract

This study designs a low-cost portable device that functions as a coaching assistant system which can support table tennis practice. Although deep learning technology is a promising solution to realizing human activity recognition, we propose using cosine similarity in making inferences. Our experiments show that the cosine similarity based inference can be a good alternative to the deep learning based inference for the assistant system when resources are limited.

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© 2019 The Institute of Electronics, Information and Communication Engineers
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