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. 2022 Jul 29;5:19. doi: 10.1186/s42492-022-00112-5

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — Visualization results of predictions for the four actions of (a) walking (b) smoking (c) walkingdog (d) greeting (e) eating (f) phoning on Human3.6 M. The ground-truth, LTD [4], HRI [27], and the proposed method are shown from top to bottom. The changes in actions from the first to the last frame of the prediction can be clearly seen in the grey dashed box, while the blue round box shows the comparison between predicted action and ground truth by the proposed method and other methods. It can be seen from the visualization results that the proposed method produces predictions closer to the ground truth than HRI and LTD.