DocumentCode
2527961
Title
Accurate micromanipulation induced by performing in unstable dynamics
Author
Su, Eileen Lee Ming ; Ganesh, Gowrishankar ; Yeong, Che Fai ; Burdet, Etienne
Author_Institution
Dept. of Bioeng., Imperial Coll. London, London, UK
fYear
2010
fDate
13-15 Sept. 2010
Firstpage
762
Lastpage
766
Abstract
This study examines effects of learning 3D micromanipulation in an unstable dynamic environment. A test group trained in an unstable divergent force field while a control group trained the movement in the null force field. The subjects in the test group increased the success rate, in contrast to the control group which had similar rate after training. The error and its standard deviation decreased in the test group but not in the control group. In summary, training in unstable dynamics enable subjects to become more accurate, in contrast to training using only visual feedback.
Keywords
learning systems; micromanipulators; stability; 3D micromanipulation; accurate micromanipulation; null force field; unstable divergent force field; unstable dynamics; visual feedback; Accuracy; Force; Haptic interfaces; Surgery; Training; Trajectory; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
RO-MAN, 2010 IEEE
Conference_Location
Viareggio
ISSN
1944-9445
Print_ISBN
978-1-4244-7991-7
Type
conf
DOI
10.1109/ROMAN.2010.5598674
Filename
5598674
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