Papers

22

Total Citations

378

H-Index

10

About

J.N. Lygouras is a prolific researcher whose work spans robotics, computer vision, digital electronics, and embedded hardware systems. Over a career spanning more than three decades, Lygouras has made significant contributions to sensor development, robotic vision, and real-time image processing architectures. His most widely cited work, a 2003 paper on a force-sensing data glove (98 citations), demonstrated innovative sensor integration for human-computer interaction, combining low-cost materials with precise electronic circuitry. His pioneering development of the pseudo-stereo vision system — using planar mirrors and a single camera to achieve depth perception — represents a particularly creative contribution to robotic sensing, explored across multiple publications and garnering nearly 75 citations collectively. Lygouras has also advanced FPGA-based hardware acceleration, developing fully pipelined architectures for real-time SIFT feature extraction and RANSAC-based image matching, addressing critical computational bottlenecks in robotic vision applications. His earlier work on nonlinear analog-to-digital conversion and memory-efficient lookup tables for trigonometric functions reflects a deep foundation in digital circuit design. With over 300 cumulative citations, his research provides practical, hardware-oriented solutions that continue to influence robotics and embedded vision systems.

Research Focus

Key Achievements

10
H-Index
22
Papers
378
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Data glove with a force sensor
98 citations · 2003
📈 Most Prolific Year: 2003 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Democritus University of Thrace, National Centre of Scientific Research "Demokritos"

Top Papers

  1. 1
    Data glove with a force sensor
    98 citations · 2003
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago