Harikrishnan Chandranpillai
Papers
1
Total Citations
5
H-Index
1
About
Harikrishnan Chandranpillai is a researcher at the forefront of brain-computer interfaces (BCIs) and neuroprosthetics, with a focus on making assistive technology accessible and practical. His key contributions center on developing low-cost, EEG-based systems that can reliably decode motor imagery—specifically, imagined right and left hand movements—to control robotic neuroprostheses. His most cited work, "Categorizing imagined right and left motor imagery BCI tasks for low-cost robotic neuroprosthesis" (2016, 5 citations), tackles the critical challenge of rapidly and accurately discriminating EEG patterns associated with imagined or real movements. By prioritizing affordability without sacrificing performance, Chandranpillai’s research paves the way for real-world, cost-effective neuroprosthetic solutions that could benefit individuals with motor impairments. His work exemplifies a commitment to translating complex neural engineering into tangible, low-barrier tools, making him a notable figure in the drive toward democratized neurotechnology.
Research Focus
Key Achievements
Top Papers
- 1