Prajwal Sanjay Bhide

Indian Institute of Technology Madras

Papers

1

Total Citations

2

H-Index

1

About

Prajwal Sanjay Bhide is a researcher at the intersection of assistive technology, neural engineering, and computer vision, whose work focuses on restoring intuitive control for individuals with visual impairments. His most notable contribution is the development of a neuronally controlled visual assistive device (NCVAD), which integrates EEG-based binary control with real-time computer vision to enable active, hands-free interaction with the environment. This proof-of-concept system, detailed in his 2025 paper, allows users to perform reach tasks through brain signals alone, marking a significant step beyond passive assistive tools. Bhide’s work has already garnered early citations, reflecting its potential to reshape human-machine interfaces for disability support. By combining neural decoding with visual processing, he addresses critical gaps in user autonomy and immersion. His research promises to advance both neuroprosthetics and accessible design, offering a glimpse into a future where assistive devices respond directly to neural intent.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Preliminary Analysis and Proof-of-Concept Validation of a Neuronally Controlled Visual Assistive Device Integrating Computer Vision with EEG-Based Binary Control
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Indian Institute of Technology Madras

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago