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
Link To Document :
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