DS1 Human hand grasping experiments: raw grasping data === Description === This dataset contains grasping data from the experiments. The sensors used are: FT-Sensor(for contact forces), Touchpad (contact traces), MoCap-System (Hand position and orientation),Cyberglove (finger postures). === How was the data recorded? === The data was recorded with a MotionAnalysis motion tracking system, an ATI Gamma Force/Torque sensor, a Cyberglove 2 sensing glove, and a touch screen. === How to open the files? === The data is stored in plain text format. The folder '/sensors/parse/' contains scripts for loading the data using C++, Python, Matlab, and Octave. === Corresponding publication(s) === Fabian Heinemann and Steffen Puhlmann and Clemens Eppner and Jose Alvarez-Ruiz and Marianne Maertens and Oliver Brock. A Taxonomy of Human Grasping Behavior Suitable for Transfer to Robotic Hands. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 4286-4291, 2015. Link: http://www.robotics.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/heinemann_puhlmann_icra2015.pdf Steffen Puhlmann and Fabian Heinemann and Oliver Brock and Marianne Maertens. A Compact Representation of Human Single-Object Grasping. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1954-1959, 2016. Link: http://www.robotics.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/puhlmann-heinemann-16-IROS.pdf