UNIPI Dataset (June 2014)

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

Year: 2014

Dataset Information:

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:

[1] 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.

Additional References:

[2] 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.

[3] M. Santello, M. Flanders, and J. F. Soechting. Postural hand synergies for tool use. The Journal of Neuroscience, 18(23):10105-10115, 1998.