Papers
2
Total Citations
93
H-Index
2
About
Ghanapriya Singh is a leading researcher in computational biomechanics and rehabilitation engineering, with a focus on restoring human mobility through intelligent systems. Her work centers on the analysis and correction of gait abnormalities, particularly for individuals with postural instability and walking deformities. In her highly cited 2021 paper, Singh introduced a heterogeneous computing model for post-injury walking pattern restoration and postural stability rehabilitation exercise recognition, earning 51 citations for its novel integration of machine learning with biomechanical analysis. She further advanced the field in 2023 with the development of an LSTM model and universal polynomial equation for all sub-phases of human gait, a breakthrough that has garnered 42 citations. This work enables real-time inverse kinematics for three-link kinematic chains, allowing precise joint angle calculations during locomotion. Singh’s contributions are pivotal for designing adaptive rehabilitation protocols and assistive technologies, bridging the gap between theoretical gait analysis and practical clinical applications. Her research continues to shape how we understand and restore human movement, making her a key figure in the intersection of AI and rehabilitation science.
Research Focus
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