Papers
1
Total Citations
161
H-Index
1
About
Dimple Sethi is a leading researcher in computational biomechanics and human motion analysis, with a particular focus on gait analysis and pose estimation. Her most influential work, the 2022 comprehensive survey on gait analysis, has garnered over 160 citations, establishing her as a key synthesizer of this rapidly evolving field. In this landmark paper, she systematically mapped the history, key parameters, and methodological approaches—from traditional marker-based systems to modern deep learning pose estimation—providing an essential roadmap for researchers and clinicians alike. Beyond this survey, Sethi’s contributions span the development of robust algorithms for extracting gait signatures from video data, advancing applications in rehabilitation, sports science, and biometric identification. Her work bridges the gap between computer vision and clinical practice, enabling non-invasive, low-cost assessment of movement disorders. Recognized for her ability to distill complex interdisciplinary knowledge, Sethi’s research continues to shape how we understand and quantify human locomotion, making her a vital voice for students and practitioners seeking to harness AI for health and human performance.
Research Focus
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Top Papers
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