Abstract. This article provides a review of the literature and existing research in recent years on the topic, describes the tasks associated with recognizing and predicting human movements



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Reference list

  1. Montes A. Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks, 2017.

  2. Iljung S. Kwak. Detecting the Starting Frame of Actions in Video, 2020.

  3. Li Y. Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks, 2016.

  4. Wang B. Back to the beginning: Starting point detection for early recognition of ongoing human actions, 2018.

  5. Hutchinson M., Gadepally V. Video Action Understanding: A Tutorial, 2020.

  6. Cao Z [и др]. OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields, 2019.

  7. Pham H.H. [и др]. Video-based human action recognition using deep learning: a review, 2019.

  8. Chena Y., Tianb Y., Hea M. Monocular Human Pose Estimation: A Survey of Deep Learning-based Methods, 2020.

  9. Podoprosvetov, A.V., Alisejchik, A.P., Orlov, I.A. Comparison of action recognition from video and IMUs Procedia Computer Science, 2021, 186, стр. 242–249

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