Keshara Weerasinghe

Keshara Weerasinghe

Final-year Computer Engineering PhD candidate at the University of Virginia. I build multimodal sensing systems for healthcare and human activity recognition.

MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery

Published in The International Journal of Medical Robotics and Computer Assisted Surgery, 2026

Recommended citation: Weerasinghe, K., Roodabeh, S. H. R., Hawkins, A., Zhang, Z., Schrader, Z., and Alemzadeh, H. (2026). MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery. The International Journal of Medical Robotics and Computer Assisted Surgery, 22(4), e70220. doi:10.1002/rcs.70220. https://doi.org/10.1002/rcs.70220

MiDAS is a platform-agnostic multimodal data acquisition system for robot-assisted minimally invasive surgery. It synchronizes surgical video with hand and foot tracking data and was validated on Raven-II and da Vinci Xi platforms, with gesture-recognition benchmarks.

Read the paper.

Explore the MiDAS project and dataset.