Deep learning for 3d human motion prediction: State-of-the-art and future trends

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Recent advances in deterministic human motion prediction: A review

T Deng, Y Sun - Image and Vision Computing, 2024 - Elsevier
In recent years, the rapid advancement of deep learning and the advent of extensive human
motion datasets have significantly enhanced the prominence of human motion prediction …
被引用次数：1 相关文章 所有 3 个版本

Hybrid musculoskeletal model-based 3D asymmetric lifting prediction and comparison with symmetric lifting

Y Xiang, R Zaman, A Arefeen… - Proceedings of the …, 2023 - journals.sagepub.com
In this study, a 3D asymmetric lifting motion is predicted by using a hybrid predictive model
to prevent potential musculoskeletal lower back injuries for asymmetric lifting tasks. The …
相关文章 所有 4 个版本

Lower body action classification using unlabeled predicted motion

HC Shin, HK Soo, DW Lee, SY Ki - 2023 14th International …, 2023 - ieeexplore.ieee.org
In this study, a rule-based motion classification method was presented for the lower
extremity motions prediction and classification for exoskeleton robot lower extremity support …
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Classification of lower extremity motions for exoskeleton robot control

H Shin, DW Lee - 2022 13th International Conference on …, 2022 - ieeexplore.ieee.org
in this paper, an algorithm for classifying human lower extremity movements was proposed
and developed for the control of exoskeleton robots. The developed algorithm converts the …
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Safety Boundary in Virtual Reality: An Approach Based on User Motion Analysis and Prediction

C Qu, X Che, Z Cai, H Li, S Wang - 2022 IEEE Smartworld …, 2022 - ieeexplore.ieee.org
In 2021, with the popularity of the concept of the Metaverse, Virtual Reality (VR) technology
has gradually developed, which will play an indispensable role in promoting the …
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