Using K-Nearest Neighbours Feature Selection for Activity Recognition
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-0361-8_14
Reference10 articles.
1. Adachi, K., Shamma Alia, S., Nahid, N., Kaneko, H., Lago, P., Inoue, S.: Summary of the bento packaging activity recognition challenge. In: The 3rd International Conference on Activity and Behavior Computing (ABC2021) (2021)
2. Shamma, A.S., Adachi, K., Nahid, N., Lago, P., Inoue, S.: Bento Packaging Activity Recognition Challenge. Haru Kaneko (2021)
3. Hachaj, T., Ogiela, M.R., Koptyra, K.: Human actions recognition from motion capture recordings using signal resampling and pattern recognition methods. Ann. Oper. Res. 265(2), 223–239 (2018)
4. Paul Ijjina, E., Krishna Mohan, C.: Human action recognition based on motion capture information using fuzzy convolution neural networks. In: 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR), pp. 1–6 (2015)
5. Barnachon, M., Bouakaz, S., Boufama, B., Guillou, E.: Ongoing human action recognition with motion capture. Pattern Recogn. 47, 238–247 (2014)
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