PC-GNN: Pearson Correlation-Based Graph Neural Network for Recognition of Human Lower Limb Activity Using sEMG Signal-Reference-Cited by-同舟云学术

PC-GNN: Pearson Correlation-Based Graph Neural Network for Recognition of Human Lower Limb Activity Using sEMG Signal

Published:2023-12 Issue:6 Volume:53 Page:945-954
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Vijayvargiya Ankit¹^ORCID,Kumar Rajesh²^ORCID,Sharma Parul²^ORCID

Affiliation:

1. Department of Electrical Engineering, Swami Keshvanand Institute of Technology, Management and Gramothan, Jaipur, India

2. Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/10360306/10283474.pdf?arnumber=10283474

Reference30 articles.

1. A review on applications of activity recognition systems with regard to performance and evaluation

2. Robotic Prosthetic Limbs

3. Human knee abnormality detection from imbalanced sEMG data

4. Development of a Human Activity Recognition System for Ballet Tasks

5. Sensor-Based Human Activity Recognition: Challenges Ahead

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