Asha Rajiv
Papers
1
Total Citations
4
H-Index
1
About
Asha Rajiv is a rising researcher at the intersection of wearable sensor technology, medical robotics, and biomedical signal processing. Her work focuses on developing non-invasive, real-time methods to assess human fatigue using electromyography (EMG) signals—a critical area for improving both clinical rehabilitation and occupational safety. In her most-cited paper, "Wearable sensor technology and medical robotics for fatigue assessment using electromyography signal processing" (2024), Rajiv introduces a novel framework that integrates lightweight, wearable EMG sensors with robotic assistive systems. This approach enables continuous, objective fatigue monitoring, which has direct implications for designing smarter prosthetics, exoskeletons, and human-robot collaboration tools. Although early in her career, her work has already garnered 4 citations, signaling growing interest from the biomechanics and robotics communities. Rajiv’s contributions stand out for bridging the gap between sensor-driven data and actionable robotic feedback, offering a pathway toward more adaptive and user-responsive medical devices. Her research promises to enhance quality of life for individuals with motor impairments and to reduce injury risks in physically demanding workplaces.
Research Focus
Key Achievements
Top Papers
- 1