TU Berlin Dataset 1 – IJRR (June 2015)

Dataset Name: TU Berlin – IJRR 2015 Dataset 1 (June 2015)

Research Group: TUB

Hand Type: Human Hand

Data Type: Human Motion, Human Postures

Data Structure: Joint Sensor Raw Data

Data Format: .csv

Sampling Rate: >=100 Hz (100 Hz)

Action Type: Reach and Grasp, Static Grasps

Objects Type: Real Objects

Kin. Model #DOFs: >20 (23)

Equipment: Motion Capture System -> Cyberglove II

# of Actions: >20 ( Data of five participants enacting grasps of the Feix grasp list (33 grasps: http://grasp.xief.net/grasplist.php)).

# of Subjects: 5

Year: 2015

Dataset Information:

Data of five participants enacting the grasps of the Feix taxonomy. Participants are shown a picture of a Feix grasp and are asked to enact it using a grasp-specific object. In between the grasps, the participants are asked to put the hand flat on the table. The data represent the time series of the complete experiment, enacting all grasps of the Feix grasp list in sequence.

How to Cite:

[1] R. Deimel, O. Brock. A Novel Type of Compliant and Underactuated Robotic Hand for Dexterous Grasping. The International Journal of Robotics Research, in print.

Additional References:

[2] R. Deimel and O. Brock. A Novel Type of Compliant, Underactuated Robotic Hand for Dexterous Grasping. Robotics:Science and Systems (RSS), 2014.

[3] http://grasp.xief.net/grasplist.php