Noor Amalina Ramli
Papers
2
Total Citations
25
H-Index
2
About
Noor Amalina Ramli is a researcher at the forefront of wearable sensor technology and human-machine interaction, with a specialized focus on developing low-cost, screen-printed piezoresistive strain sensors for facial expression recognition. Her work bridges materials science and affective computing, aiming to create accessible tools that decode human emotions through subtle facial movements. Her most-cited paper, "Development of low cost screen-printed piezoresistive strain sensor for facial expressions recognition systems" (2020, 23 citations), introduces a novel, affordable sensor design that can detect nuanced expressions like fear, sadness, joy, and anger—critical for applications in assistive technology, mental health monitoring, and human-robot communication. This work is complemented by her review article (2020, 2 citations), which systematically maps the landscape of strain sensors in facial expression detection, highlighting the importance of non-verbal cues in understanding emotional states. Ramli’s contributions are particularly impactful for democratizing emotion-sensing technology, offering a practical alternative to expensive, complex systems. Her research not only advances sensor engineering but also deepens our understanding of how technology can interpret the unspoken language of human emotion.
Research Focus
Key Achievements
Top Papers
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- 2