Nidhi Seethapathi

Contact

snidhi@seas.upenn.edu

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Current interests

Data science and pose estimation for movement science and motor rehab.

Dynamics, control and energetics of human and robot locomotion.

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Publications

Chambers, C. , Seethapathi, N. , Saluja, R. , Loeb, H. , Pierce, S. , Bogen, D. , Prosser, L. , Johnson, M. J. & Kording, K. P. (2019). Computer vision to automatically assess infant neuromotor risk. bioRxiv preprint, bioRxiv:756262.

Seethapathi, N. , Jain, A. & Srinivasan, M. (2019). Walking for short distances and turning in lower-limb amputees: a study in low-cost prosthesis users. arXiv preprint, arXiv:1909.03139.

Seethapathi, N., Wang, S., Saluja, R., Blohm, G., & Kording, K. P. (2019). Movement science needs different pose tracking algorithms. arXiv preprint, arXiv:1907.10226.

Seethapathi, N. & Srinivasan, M. (2019). Step-to-step variations in human running reveal how humans run without falling. eLife, e38371.

Seethapathi, N. & Srinivasan, M. (2015). The metabolic cost of changing walking speeds is significant, implies lower optimal speeds for shorter distances, and increases daily energy estimates. Biology Letters, 11.9: 20150486.

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