Hazlina Md Yusof
Papers
14
Total Citations
195
H-Index
7
About
Hazlina Md Yusof is a researcher whose work spans human-robot interaction (HRI), biomedical signal processing, and assistive robotics — fields where engineering meets human welfare. Her most cited contribution, "The Classification of Movement Intention through Machine Learning Models" (2021, 57 citations), demonstrates her expertise in electromyography (EMG) signal analysis, identifying key time-domain features to predict human motor intent for human-robot collaboration systems. Complementing this, her early work on thermal imaging-based emotion detection — including GLCM feature extraction for affective state recognition — garnered over 60 combined citations, positioning her as a pioneer in non-invasive, contact-free emotional intelligence for robotic systems. Yusof has also made meaningful contributions to rehabilitative and assistive robotics, exploring assistive-as-needed strategies for stroke recovery and developing path-guidance robots for the visually impaired. Notably, her research extends to vulnerable populations, including children with Autism Spectrum Disorder, investigating humanoid robot interventions to support social development. Her PID-based robotic arm control study further reflects her breadth across control systems. With a consistently growing citation record and a commitment to socially impactful applications, Yusof represents a researcher bridging intelligent systems with genuine human need.
Research Focus
Key Achievements
Top Papers
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- 3Thermal imaging based affective state recognition19 citations · 2015
- 4Analysis of Point-to-Point Robotic Arm Control using PID controller17 citations · 2019
- 5Emotion detection from thermal facial imprint based on GLCM features13 citations · 2016
- 6Intelligent path guidance robot for blind person assistance13 citations · 2015
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- 10Robot Selection in Robotic Intervention for ASD Children6 citations · 2018