Ping Pong Motion Recognition based on Smart Watch
Zengjun Fu, Kuang-I Shu, Heng Zhang
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.99How to use a DOI?
- Smart Watch; Inertial perception; Convolutional neural network; Motion recognition.
- Smart watches have become one of the most representative devices in wearable devices because of their unique advantages such as integration, portability, reliability, stability, universality and low environmental dependence. At present, it is mainly used for the monitoring of health indicators such as human heart rate. Whole-body inertial sensing devices cannot meet the actual needs of the general public for virtual sports because of high prices and inconvenient wear. In this paper, a single piece smart watch is used to study the recognition of the most common actions in table tennis which is a kind of fast-moving sport and has many fans through an improved convolution neural network model. The final experimental results show that the recognition accuracy reaches 95.46%, which can basically meet the needs of amateurs' motionSports.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zengjun Fu AU - Kuang-I Shu AU - Heng Zhang PY - 2019/04 DA - 2019/04 TI - Ping Pong Motion Recognition based on Smart Watch PB - Atlantis Press SP - 617 EP - 625 SN - 2352-538X UR - https://doi.org/10.2991/icmeit-19.2019.99 DO - https://doi.org/10.2991/icmeit-19.2019.99 ID - Fu2019/04 ER -