Real-Time Surface EMG-based Recognition of Finger Movements-Reference-Cited by-同舟云学术

Real-Time Surface EMG-based Recognition of Finger Movements

Published:2023-07-05 Issue: Volume: Page:
ISSN:
Container-title:Advances In Robotics - 6th International Conference of The Robotics Society
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Author:

Sarmah Nilavjyoti¹^ORCID,Bordoloi Prapti²^ORCID,Hazarika Shyamanta¹^ORCID

Affiliation:

1. Mechanical Engineering, IIT Guwahati, IN

2. Instrumentation and Control Engineering, Nirma University, IN

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610419.3610498

Reference26 articles.

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2. Mohammad Zawad Ali . 2019. Induction motors fault diagnosis using machine learning and advanced signal processing techniques. Ph. D. Dissertation . Memorial University of Newfoundland . Mohammad Zawad Ali. 2019. Induction motors fault diagnosis using machine learning and advanced signal processing techniques. Ph. D. Dissertation. Memorial University of Newfoundland.

3. Shefalika Asthana and Pranav Kumar Eranti. 2019. Emulated Operation of a Robotic Manitpulator by Electromyography Signals. (2019). Shefalika Asthana and Pranav Kumar Eranti. 2019. Emulated Operation of a Robotic Manitpulator by Electromyography Signals. (2019).

4. Experiences of SENSory Relearning of the UPPer Limb (SENSUPP) after Stroke and Perceived Effects: A Qualitative Study

5. Emma Farago , Dawn Macisaac , Michelle Suk , and Adrian Dart Cheong Chan . 2022. A Review of Techniques for Surface Electromyography Signal Quality Analysis . IEEE Reviews in Biomedical Engineering ( 2022 ). Emma Farago, Dawn Macisaac, Michelle Suk, and Adrian Dart Cheong Chan. 2022. A Review of Techniques for Surface Electromyography Signal Quality Analysis. IEEE Reviews in Biomedical Engineering (2022).