Real-Time Surface EMG Pattern Recognition for Shoulder Motions Based on Support Vector Machine-Reference-Cited by-同舟云学术

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Real-Time Surface EMG Pattern Recognition for Shoulder Motions Based on Support Vector Machine

Published:2020-10-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition
language:
Short-container-title:

Author:

Zhou Yang¹,Chen Chaoyang²,Cheng Mark³,Franovic Sreten⁴,Muh Stephanie⁴,Lemos Stephen⁵

Affiliation:

1. Wayne State University, Detroit, MI, USA

2. Department of Biomedical Engineering, Wayne State University, Detroit, Michigan, USA

3. Wayne State University, Detroit, Michigan, USA

4. Department of Orthopaedic Surgery, Henry Ford Health System, Detroit, Michigan, USA

5. Orthopedic Surgery and Sports Medicine, DMC Detroit, MI USA

Funder

WSU UPTF Professional Development Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3436369.3437434

Reference16 articles.

1. An EMG-Based Control for an Upper-Limb Power-Assist Exoskeleton Robot

2. Machine learning-based novel approach to classify the shoulder motion of upper limb amputees

3. Analysis and Comparison of Features and Algorithms to Classify Shoulder Movements From sEMG Signals

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2. The Effects of Body Location and Biosignal Feedback Modality on Performance and Workload Using Electromyography in Virtual Reality;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

3. Computer Vision and Machine Learning-Based Gait Pattern Recognition for Flat Fall Prediction;Sensors;2022-10-19

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