Kshitija Patel
Papers
1
Total Citations
8
H-Index
1
About
Kshitija Patel is a rising researcher at the intersection of rehabilitation engineering and applied machine learning, with a core focus on enhancing human-robot interaction for assistive technologies. Her work centers on the classification of Activities of Daily Living (ADL) using physiological signals, particularly electromyographic (EMG) data. In her most-cited paper, "Comparison of Machine Learning Techniques for Activities of Daily Living Classification with Electromyographic Data" (2022, 8 citations), Patel systematically evaluates various ML algorithms to improve the accuracy of wearable robotic systems in interpreting patient intent. This contribution is pivotal for advancing smart prosthetics and rehabilitation exoskeletons that can autonomously adapt to a user's real-world movements. By demonstrating how data-driven techniques can transform raw EMG signals into reliable control commands, her research directly addresses a critical bottleneck in clinical robotics: the need for intuitive, responsive devices that reduce patient cognitive load. Patel’s work is gaining traction among engineers developing next-generation wearable technologies, positioning her as a key voice in the push toward more intelligent, patient-centered rehabilitation solutions.
Research Focus
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Top Papers
- 1