Funding: NSF EAGER (#1354321)
Collaborators: Dr. Jay Han, UC Davis Medical Center
Researchers: Robert Matthew
Development of musculoskeletal models based on multimodal sensor measurements
Individualized musculoskeletal models to improve over generalized population-based models.
These models can be analyzed to detect muscle weakness and joint injuries.
Models of an individual can be created using, non-invasive sensors such as motion capture, Inertial Measurement Devices and Electromyography.
Medical diagnostics of injuries, more effective physical therapy, assistive robotics (e.g. exoskeletons), human-machine interaction.
R.P. Matthew, V. Shia, M. Tomizuka, R. Bajcsy, "Optimal design for individualised passive assistance", In Proceedings of the 6th Augmented Human International Conference, Singapore, Mar 9-11, 2015, pp. 69-76.
R. Matthew, G. Kurillo, J. Han, R.Bajcsy, "Calculating an Individuals' Reachable Volume for use in Quantitative Medicine", Proceedings of 2nd Workshop on Assistive Computer Vision and Robotics (ACVR), Zürich, Sept. 12,2014.