DocumentCode :
108201
Title :
A Novel Approach to Diagnosing Motor Skills
Author :
Aguirre, Ariel ; Lozano-Rodero, Alberto ; Matey, Luis M. ; Villamane, Mikel ; Ferrero, Begona
Author_Institution :
CEIT & Tecnun, Univ. of Navarra, San Sebastian, Spain
Volume :
7
Issue :
4
fYear :
2014
fDate :
Oct.-Dec. 1 2014
Firstpage :
304
Lastpage :
318
Abstract :
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.
Keywords :
artificial intelligence; computer based training; virtual reality; ULISES framework; coordination movement; educational technologies; interactive intelligent learning system; motor skills acquisition; motor skills diagnosis; motor skills evaluation; movement sequence; movement trajectories; pose movement; procedural task training; tennis-related motor skills; virtual reality interactive systems; Hidden Markov models; Solid modeling; Surgery; Training; Trajectory; Virtual reality; Procedural tasks; interactive learning environments; motor skills; virtual reality;
fLanguage :
English
Journal_Title :
Learning Technologies, IEEE Transactions on
Publisher :
ieee
ISSN :
1939-1382
Type :
jour
DOI :
10.1109/TLT.2014.2340878
Filename :
6863666
Link To Document :
بازگشت