Mahbuba Alam
Papers
1
Total Citations
17
H-Index
1
About
Mahbuba Alam is a researcher in assistive robotics and embedded systems, with a focus on developing intuitive human-machine interfaces for vulnerable populations. Her most cited work, "Designing and Implementation of a Wireless Gesture Controlled Robot for Disabled and Elderly People" (2019, 17 citations), presents a novel embedded system that translates hand gestures into robotic commands, enabling physically challenged and elderly users to control a robot wirelessly. This contribution addresses a critical gap in accessible technology, combining hardware and software to create a dedicated, user-friendly solution for those with limited mobility. Alam’s research demonstrates how gesture-based control can enhance independence and quality of life, bridging the gap between human intent and machine action. Her work has been recognized for its practical impact, offering a scalable framework for future assistive devices. By prioritizing real-world usability and low-cost implementation, Alam continues to advance the field of human-robot interaction, making technology more inclusive for aging and disabled populations. Her findings serve as a foundation for further innovations in gesture recognition and embedded system design.
Research Focus
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Top Papers
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