By Topic

A novel approach to diagnosing motor skills

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Aguirre, A. ; Aitor Aguirre is with the CEIT and Tecnun (University of Navarra), 20018 San Sebastian, Spain. (e-mail: aaguirre@ceit.es). ; Lozano-Rodero, A. ; Matey, L. ; Villamane, M,
more authors

The combination of Virtual Reality Interactive Systems and educational technologies have been used in the training of procedural tasks, but there is a lack of research with regard to providing specific assistance for acquiring motor skills. In this paper we present a novel approach to evaluating motor skills with an Interactive Intelligent Learning System based on the ULISES framework. We describe the implementation of the different layers that ULISES is composed of in order to generate a diagnosis of trainees’ motor skills. This diagnostic process takes into account the following characteristics of movement: coordination, poses, movement trajectories and the procedure followed in a sequence of movements. In order to validate our work we generated a model for the diagnosis of tennis-related motor skills and we conducted an experiment in which we interpreted and diagnosed tennis serves of several subjects and which shows promising results.

Published in:

Learning Technologies, IEEE Transactions on  (Volume:PP ,  Issue: 99 )