Low-Cost Method for Recognizing Table Tennis Activity
Se-Min Lim, Jooyoung Park, Hyeong-Cheol Oh · IEICE Transactions on Information and Systems · 2019
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.