Author:
Awad Omer Fawzi,Ahmed Saadaldeen Rashid,Shaker Atheel Sabih,Majeed Duaa A.,Hussain Abadal-Salam T.,Taha Taha A.
Publisher
Springer Nature Switzerland
Reference26 articles.
1. Zheng, X., Wang, M., Ordieres-Meré, J.: Comparison of data preprocessing approaches for applying deep learning to human activity recognition in the context of industry 4.0. Sensors 18(7), 2146 (2018)
2. Ramasamy Ramamurthy, S., Roy, N.: Recent trends in machine learning for human activity recognition—a survey. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 8(4), e1254 (2018)
3. Tang, C.I., Perez-Pozuelo, I., Spathis, D., Mascolo, C.: Exploring contrastive learning in human activity recognition for healthcare (2020). arXiv preprint arXiv:2011.11542
4. Host, K., Ivašić-Kos, M.: An overview of human action recognition in sports based on computer vision. Heliyon 8(6), e09633 (2022)
5. Jegham, I., Khalifa, A.B., Alouani, I., Mahjoub, M.A.: Vision-based human action recognition: an overview and real world challenges. Forensic Sci. Int. Digit. Investig. 32, 200901 (2020)