Literature Review on Human Behavioural Analysis Using Deep Learning Algorithm
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-16364-7_25
Reference10 articles.
1. Tufek, N., Yalcin, M., Altintas, M., Kalaoglu, F., Li, Y., Bahadir, S.K.: Human action recognition using deep learning methods on limited sensory data. IEEE Sens. J. 20(6), 3101–3112 (2020)
2. Zhang, K., Ling, W.: Joint motion information extraction and human behavior recognition in video based on deep learning. IEEE Sens. J. 20(20), 11919–11926 (2020)
3. Giritlioğlu, D., et al.: Multimodal analysis of personality traits on videos of self-presentation and induced behavior. J. Multimodal User Interfaces 15(4), 337–358 (2020). https://doi.org/10.1007/s12193-020-00347-7
4. Mohan, K., Seal, A., Krejcar, O., Yazidi, A.: Facial expression recognition using local gravitational force descriptor-based deep convolution neural networks. IEEE Trans. Instrum. Measure. 70, 1–12 (2021)
5. Byeon, Y.-H., Kim, D., Lee, J., Kwak, K.-C.: Explaining the unique behavioral characteristics of elderly and adults based on deep learning. Appl. Sci. 11, 10979 (2021). https://doi.org/10.3390/app112210979
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