Papers
5
Total Citations
50
H-Index
4
About
Ganesh Roy is a leading researcher at the intersection of assistive robotics, biomechanics, and brain-computer interfaces (BCI), dedicated to restoring mobility for individuals with physical disabilities. His work centers on developing intelligent lower limb exoskeletons, integrating non-invasive sensing and control strategies. Roy’s major contributions include pioneering the use of Microsoft Kinect cameras for marker-less gait analysis, offering a low-cost alternative to traditional goniometers for recording joint kinematics in assistive robotics (21 citations). He has also advanced BCI-driven exoskeleton control by classifying motor imagery (MI) EEG signals, notably using cross-correlated spectral entropy to trigger exoskeleton movement (10 citations) and identifying minimal EEG channel sets for efficient device control (8 citations). His foundational work on brain-controlled lower limb exoskeletons for mobility regeneration (8 citations) and detailed single-support phase gait kinematics for humanoid exoskeletons (3 citations) further underscores his impact. With a cumulative citation count exceeding 50, Roy’s research is pivotal in making assistive technologies more accessible, intuitive, and effective for rehabilitation, positioning him as a key innovator in the field of human-robot interaction.
Research Focus
Key Achievements
Top Papers
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