Pranesh Gopal
Papers
1
Total Citations
50
H-Index
1
About
Pranesh Gopal is a leading researcher at the intersection of assistive robotics, biomedical signal processing, and human–machine interaction. His work centers on developing intelligent, non-invasive control systems for robotic hand prostheses, with a particular focus on improving the quality of life for individuals with upper limb amputations. Gopal’s most cited study, “A Systematic Study on Electromyography-Based Hand Gesture Recognition for Assistive Robots Using Deep Learning and Machine Learning Models” (2022, 50 citations), provides a comprehensive evaluation of surface electromyography (sEMG) signals combined with advanced deep learning and machine learning architectures. This work systematically benchmarks classification models for real-time, intuitive gesture recognition, addressing critical challenges in prosthetic control such as signal variability and user adaptation. By bridging sensor technology with robust algorithmic frameworks, Gopal’s contributions advance the feasibility of dexterous, responsive assistive devices. His research not only pushes the boundaries of rehabilitation engineering but also offers practical pathways toward seamless human–robot collaboration, making him a notable voice in the field of intelligent prosthetics and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1