Dataset Name: UNIPI Dataset (June 2014)
Research Groups: UNIPI
Hand Type: Human Hand
Data Type: Human Motion
Data Structure: Marker Coordinates (mm)
Data Format: .dat
Sampling Rate: >100 Hz (480 Hz)
Action Type: Free Space
Objects Type: No Object
Kin. Model # DoFs: >20 (24)
Equipment: Motion Capture System -> Phase Space
# of Actions/Hand Configurations: >20
# of Subjects: 1
Dataset contains the Kapandji kinematic model for one subject. The file contains row-data acquired using the Phase Space Optical Tracking System. Data are organized in blocks: each block corresponds to the marker coordinates for a given sample time. More information regarding the model can be found in the .pdf and .ppt files.
How to cite:
 M. Gabiccini, G. Stillfried, H. Marino, M. Bianchi. A data-driven kinematic model of the human hand with soft-tissue artifact compensation mechanism for grasp synergy analysis. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2013. Tokyo, Japan; In Press.
 G. Stillfried, U. Hillenbrand, M. Settles, and P. van der Smagt. MRI-based skeletal hand movement model. In R. Balaraman and V. Santos, editors, The human hand – a source of inspiration for robotic hands. Springer Tracts on Advanced Robotics, 2013. In print.
 M. Santello, M. Flanders, and J. F. Soechting. Postural hand synergies for tool use. The Journal of Neuroscience, 18(23):10105-10115, 1998.