Martin Sagayam K.
Papers
1
Total Citations
2
H-Index
1
About
Dr. Martin Sagayam K. is a leading researcher in human-computer interaction and intelligent systems, with a primary focus on gesture-based control and deep learning applications. His most notable contribution is the development of a virtual robotic arm control system that leverages hand gesture recognition and deep learning strategies, enabling real-time, portable, and intuitive manipulation of robotic arms. This work, published in 2017, has garnered 2 citations and demonstrates a pioneering approach to bridging human intent with machine action through advanced neural networks. By integrating "Deep Hand" techniques, Dr. Sagayam has advanced the field of assistive robotics and human-robot collaboration, offering a scalable solution for tasks requiring dexterous control without physical interfaces. His research is particularly impactful for students and researchers exploring the intersection of computer vision, deep learning, and robotics, providing a foundation for future innovations in smart prosthetics and automated systems. Dr. Sagayam’s work underscores his commitment to making robotic technology more accessible and responsive to natural human gestures.
Research Focus
Key Achievements
Top Papers
- 1