Wan Khairunizam
Papers
11
Total Citations
68
H-Index
5
About
Wan Khairunizam is a researcher whose work bridges human-computer interaction, robotics, and biomedical engineering. His key research areas include emotion recognition from biosignals, robotic rehabilitation, autonomous mobile robot control, and automated manufacturing systems. One of his most notable contributions is in emotion recognition, where he developed a method using Hilbert Huang Transform to analyze electrocardiogram signals, achieving 22 citations for its potential to equip robots with emotional intelligence. He has also made significant strides in rehabilitation robotics, designing a cable-driven ankle rehabilitation robot (7 citations) and analyzing finger movements for robotic hand control using motion capture and flexible bend sensors. In manufacturing, his work on an automated gantry-robot painting system for aircraft parts (9 citations) addresses real-world industrial challenges, improving quality and efficiency. With a total of over 60 citations across his top papers, Khairunizam’s research demonstrates a clear impact on both theoretical understanding and practical applications in robotics and HCI. His work on differential steering control for mobile robots and fuzzy logic navigation further showcases his expertise in autonomous systems, making his profile a valuable resource for students and researchers interested in the intersection of robotics, biosignal processing, and intelligent control.
Research Focus
Key Achievements
Top Papers
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- 4Modelling of a Cable-driven Ankle Rehabilitation Robot7 citations · 2018
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