Human knee abnormality detection from imbalanced sEMG data. - Ankit Vijayvargiya; Chandra Prakash; Rajesh Kumar 002; Sanjeev Bansal; João Manuel R. S. Tavares (Biomed. Signal Process. Control., 2021)

Hardware Implementation for Lower Limb Surface EMG Measurement and Analysis Using Explainable AI for Activity Recognition. - Ankit Vijayvargiya; Puneet Singh; Rajesh Kumar 002; Nilanjan Dey (IEEE Trans. Instrum. Meas., 2022)

Data-driven gait model for bipedal locomotion over continuous changing speeds and inclines. - Bharat Singh; Suchit Patel; Ankit Vijayvargiya; Rajesh Kumar 002 (Auton. Robots, 2023)

Universal activation function for data-driven gait model. - Bharat Singh; Suchit Patel; Ankit Vijayvargiya; Rajesh Kumar 002 (Int. J. Model. Identif. Control., 2023)

sEMG-based deep learning framework for the automatic detection of knee abnormality. - Ankit Vijayvargiya; Bharat Singh; Nidhi Kumari; Rajesh Kumar 002 (Signal Image Video Process., 2023)

PC-GNN: Pearson Correlation-Based Graph Neural Network for Recognition of Human Lower Limb Activity Using sEMG Signal. - Ankit Vijayvargiya; Rajesh Kumar 002; Parul Sharma (IEEE Trans. Hum. Mach. Syst., 2023)

supDQN: Supervised Rewarding Strategy Driven Deep Q-Network for sEMG Signal Decontamination. - Ashutosh Jena; Naveen Gehlot; Rajesh Kumar 002; Ankit Vijayvargiya; Mahipal Bukya (IEEE Access, 2024)

Surface electromyography based explainable Artificial Intelligence fusion framework for feature selection of hand gesture recognition. - Naveen Gehlot; Ashutosh Jena; Ankit Vijayvargiya; Rajesh Kumar 002 (Eng. Appl. Artif. Intell., 2024)