DocumentCode
2009651
Title
Analysis of human grasping under task anticipation using a tactile book
Author
Schurmann, Carsten ; Koiva, R. ; Haschke, Robert ; Ritter, Helge
Author_Institution
Neuroinf. Group, Bielefeld Univ., Bielefeld, Germany
fYear
2012
fDate
Nov. 29 2012-Dec. 1 2012
Firstpage
773
Lastpage
778
Abstract
Motivated by the prominent role of haptics for the analysis of human grasping and manipulation and the replication of similar abilities for humanoid robots, we developed a device capable to augment conventional motion capture techniques with the real-time acquisition of high-resolution spatio-temporal pressure patterns between hand and manipulated object. The device is the shape and size of a book, covered with a grid of small-sized (5 mm diameter) sensors and processing electronics to provide a stream of “tactile images” at 180 Hz frame per second. Additionally integrated acceleration sensors allow to correlate the tactile image stream with accurate motion information. We discuss design considerations, implementation and data processing and illustrate the capabilities of the device with an experiment studying grasping strategies during a pick-and-place task and the impact of different end-states on the recorded grasping patterns.
Keywords
data handling; dexterous manipulators; haptic interfaces; image motion analysis; tactile sensors; data processing; frequency 180 Hz; grasping patterns; high-resolution spatiotemporal pressure pattern; human grasping analysis; integrated acceleration sensors; motion capture techniques; motion information; object manipulation analysis; pick-and-place task; processing electronics; real-time acquisition; size 5 mm; small-sized sensors; tactile book; tactile image stream; task anticipation; Force; Grasping; Sensor phenomena and characterization; Tactile sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Humanoid Robots (Humanoids), 2012 12th IEEE-RAS International Conference on
Conference_Location
Osaka
ISSN
2164-0572
Type
conf
DOI
10.1109/HUMANOIDS.2012.6651607
Filename
6651607
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