The OpenArm data set encompasses factorial sets of volumetric scans of the arm, generated using ultrasound and motion capture, that allow for analysis of both force- and configuration-associated muscle deformation for applications in biomechanics research, computer graphics, and assistive device development.

We invite anyone in the research community to use the OpenArm data set to validate existing muscle deformation models or to devise new ones.

Full details can be found in the following papers:

Yonatan Nozik*, Laura A. Hallock*, Daniel Ho, Sai Mandava, Chris Mitchell, Thomas Hui Li, and Ruzena Bajcsy, "OpenArm 2.0: Automated Segmentation of 3D Tissue Structures for Multi-Subject Study of Muscle Deformation Dynamics," in International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, 2019. *Equal contribution. (Available at

Laura Hallock, Akira Kato, and Ruzena Bajcsy. "Empirical quantification and modeling of muscle deformation: Toward ultrasound-driven assistive device control." In IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. (Available at

This project is currently in development in the Human-Assistive Robotic Technologies (HART) Lab at the University of California, Berkeley (


OpenArm 2.0 data set released + scheduled for presentation at EMBC Berlin!

Jul 16, 2019

The OpenArm 2.0 muscle deformation data set has now been released to SimTK, and is scheduled for presentation at EMBC 2019 in Berlin!

First OpenArm 3D muscle deformation data set released!

Nov 29, 2018

The first generation of the OpenArm data set has now been ported from our lab website to the SimTK community!

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Download our full factorial data set of multi-subject arm muscle deformation here, as well as associated segmentation code!

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