Ahmad Jazlan Haja Mohideen
Papers
4
Total Citations
32
H-Index
3
About
Ahmad Jazlan Haja Mohideen is a researcher at the forefront of assistive robotics and human-machine interaction, with a particular focus on myoelectric control systems. His work bridges the gap between biomedical signal processing and autonomous navigation, aiming to create intuitive interfaces for individuals with mobility challenges. His most cited paper, "Advancements and Challenges in Mobile Robot Navigation" (2024, 19 citations), provides a comprehensive review of algorithms—from traditional AI to self-learning approaches—charting a roadmap for more autonomous robotic systems. This work complements his earlier, foundational contributions to myoelectric control, where he developed systems to interpret forearm EMG signals for wrist position and grip force (2012, 6 citations), directly applicable to prosthetic hand control. Notably, he pioneered a portable myoelectric robotic system for light exercise among bedridden and wheelchair-bound individuals (2010, 4 citations), and explored the use of facial muscle signals (frontalis and zygomaticus major) to control mobile robots (2012, 3 citations). Through these innovations, Haja Mohideen has demonstrated a consistent commitment to leveraging biosignals for practical, life-enhancing robotic applications, making significant strides in accessible technology.
Research Focus
Key Achievements
Top Papers
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