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Massachusetts Institute of Technology

Improving visio-motor coordination in non-dominant hands through tracing tasks

Abstract

dc:description.abstract

Visuo-motor skills are essential in the performance of various everyday tasks. These skills can be impaired in several neurological conditions. Effective rehabilitation schemes are needed in order to improve visuo-motor coordination in such subjects. This study will propose and test a training regimen as a potential approach for improving fine eye-hand coordination. It will also seek to understand the significance of feedback in visuo-motor improvement. We tested three groups of subjects: those who received training with feedback, those who received training without feedback, and a control group that received no training. The results indicate the effectiveness of our training routine and also highlight the importance of feedback in improving eye-hand coordination.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2006

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Eisenstat, Zachary M. (Zachary Miles)
Advisor dc:contributor.advisor
  • Pawan Sinha.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/36306
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/36306

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Eisenstat, Zachary M. (Zachary Miles). Improving visio-motor coordination in non-dominant hands through tracing tasks. Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36306