Classification of Gait Phases by Using SVM and ANN Based on EMG Signals-Reference-Cited by-同舟云学术

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Classification of Gait Phases by Using SVM and ANN Based on EMG Signals

Published:2024-07-06 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA)
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Author:

Nazmi Nurhazimah¹,Yamamoto Shin-Ichiroh²,Rohim Muhammad Amirul Sunni¹,Shair Ezreen Farina³

Affiliation:

1. Center for Artificial Intelligence and Robotics (CAIRO), Universiti Teknologi Malaysia,Kuala Lumpur,Malaysia

2. Shibaura Institute of Technology,Department of Bio-Science and Engineering,Saitama,Japan

3. Universiti Teknikal Malaysia Melaka,Faculty of Electrical Engineering,Melaka,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10607153/10607159/10607348.pdf?arnumber=10607348

Reference30 articles.

1. Review of assistive strategies in powered lower-limb orthoses and exoskeletons

2. Review of control strategies for lower-limb exoskeletons to assist gait

3. EMG-driven control in lower limb prostheses: a topic-based systematic review

4. A Review of Gait Phase Detection Algorithms for Lower Limb Prostheses

5. The Ankle Mimicking Prosthetic Foot 3—Locking mechanisms, actuator design, control and experiments with an amputee

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