Amarjeet Kaur
Papers
1
Total Citations
4
H-Index
1
About
Amarjeet Kaur is a leading researcher at the intersection of wearable sensor technology, medical robotics, and biomedical signal processing. Her work focuses on developing intelligent systems for real-time fatigue assessment, particularly through the analysis of electromyography (EMG) signals. Her most-cited paper, "Wearable sensor technology and medical robotics for fatigue assessment using electromyography signal processing" (2024), has already garnered 4 citations, highlighting its early impact in advancing non-invasive, robotic-assisted health monitoring. Kaur’s contributions are pivotal in bridging the gap between soft robotics and human physiology, enabling more responsive and adaptive medical devices for rehabilitation and occupational safety. By integrating machine learning with sensor data, she has pioneered methods that enhance the accuracy of fatigue detection, which is critical for preventing injury in both clinical and industrial settings. Her work holds promise for transforming personalized healthcare, offering scalable solutions for continuous, real-time monitoring. As an emerging voice in her field, Kaur’s research continues to inspire innovations in human-robot interaction and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1