4 papers
EEG-based 90-Degree Turn Intention Detection for Brain-Computer Interface
Pradyot Anand, Anant Jain, Suriya Prakash Muthukrishnan +3
Electroencephalography (EEG)--based turn intention prediction for lower limb movement is important to build an efficient brain-computer interface (BCI) system. This study investiga…
Load-Aware Calibration of EMG-Driven Musculoskeletal Models for Accurate and Generalizable Joint Torque Estimation
Rajnish Kumar, Suriya Prakash Muthukrishnan, Lalan Kumar +1
Accurate EMG-driven musculoskeletal (MSK) modeling is critical for biomechanics, rehabilitation, and assistive technology. However, most models calibrate parameters under a single…
sEMG-Driven Physics-Informed Gated Recurrent Networks for Modeling Upper Limb Multi-Joint Movement Dynamics
Rajnish Kumar, Anand Gupta, Suriya Prakash Muthukrishnan +2
Exoskeletons and rehabilitation systems have the potential to improve human strength and recovery by using adaptive human-machine interfaces. Achieving precise and responsive contr…
ESI-GAL: EEG Source Imaging-based Trajectory Estimation for Grasp and Lift Task
Anant Jain, Lalan Kumar
Electroencephalogram (EEG) signals-based motor kinematics prediction (MKP) has been an active area of research to develop brain-computer interface (BCI) systems such as exosuits, p…