Gait Phase Detection of Exoskeleton Robot Based on Optimized DAG-SVM-Reference-Cited by-同舟云学术

Gait Phase Detection of Exoskeleton Robot Based on Optimized DAG-SVM

Published:2020-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Conference on Computer Science and Application Engineering
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Author:

Hu Shengnan¹,Zheng Jianbin¹,Huang Liping¹

Affiliation:

1. School of Information Engineering, Wuhan University of Technology; Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education Wuhan, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3424978.3425081

Reference14 articles.

1. Long Y (2017). Human Motion prediction and human-robot coordination control for lower extremity exoskeleton. Harbin: Harbin Institute of Technology. Long Y (2017). Human Motion prediction and human-robot coordination control for lower extremity exoskeleton. Harbin: Harbin Institute of Technology.

2. Quantitative estimation of foot-flat and stance phase of gait using foot-worn inertial sensors

3. Adaptive method for real-time gait phase detection based on ground contact forces

4. EMG signals based gait phases recognition using hidden Markov models

5. Gait phase recognition under proportion-uncontrolled body right support based on plantar pressure sensor;Song G Y;Chinese Journal of Engineering Design,2019

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