NDLI: Visual error augmentation enhances learning in three dimensions

Content Provider	IEEE Xplore Digital Library
Author	Sharp, I. Huang, F.C. Patton, J.L.
Copyright Year	2010
Description	Author affiliation: University of Illinois at Chicago, 218 SEO, MC 063, 851 South Morgan Street, 60607-7052, USA (Sharp, I.; Huang, F.C.; Patton, J.L.)
Abstract	Recent human motor learning and neuro-rehabilitation experiments have identified the benefits of assisting the learning process by artificially enhancing the errors one might experience. A yet untested question is just how far the nervous system will trust such treatments, especially in transformations with very large sensorimotor discrepancies. Our study asked 10 healthy subjects to perform targeted reaching in a virtual reality environment, where the transformation of the hand position matrix was a complete reversal - rotated 180 degrees about an arbitrary axis (hence 2 of the 3 coordinates are reversed). Our data show that after 500 practice trials, subject who received 2x Error Augmentation (EA) were able to reach their desired target 0.4 seconds more quickly and with a Maximum Perpendicular Trajectory deviation of 0.9 cm less, when compared to the control group. Furthermore, the manner in which subjects practiced was influenced by the error augmentation, resulting in more continuous motions for this group. These data further support that this type of enhancement, as well as possibly other distorted reality methods, may promote more complete adaptation/learning when compared to regular training.
Starting Page	5915
Ending Page	5918
File Size	582317
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627545
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Visualization Trajectory Measurement Robots Virtual reality Nonlinear distortion
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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