Time Series Human Motion Prediction Using RGB Camera and OpenPose

Author:

YUNUS Andi Prademon1,SHIRAI Nobu C.1,MORITA Kento1,WAKABAYASHI Tetsushi1

Affiliation:

1. Mie University

Publisher

Japan Society of Kansei Engineering

Subject

General Medicine

Reference13 articles.

1. [1] Hiroki Tamura, Kurumi Tsuruta, Etsuo Chosa; Method for estimating locomotive syndrome based on walking motion, Japanese Journal of Clinical Biomechanics, 40, pp.223-229, 2019.

2. [2] M. Julieta, B. J. Michael, and R. Javier; On Human Motion Prediction Using Recurrent Neural Networks, arXiv:1705.02445v1, 2017

3. [3] Tang Yongyi, Ma Lin, Liu Wei, and Zheng Wei Shi; Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics, In:935-941.10.24963/ijcai.2018/130, 2018

4. [4] Wu, Erwin, Koike, and Hideki; Real-time human motion forecasting using a RGB camera, 1-2. 10.1145/3281505.3281598, 2018

5. [5] C. Yujiao,Z. Weiye, L. Changliu, and T. Masayoshi; Human Motion Prediction using Adaptable Neural Networks, arXiv:1810.00781, 2018

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1. Automatic Analysis of Gait Cycle Using MediaPipe;International Symposium on Affective Science and Engineering;2023

2. An Adaptive Human Posture Detection Algorithm Based on Generative Adversarial Network;Computational Intelligence and Neuroscience;2022-03-31

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