Olympus: An Intelligent Interactive Learning Platform for Procedural Tasks

Aguirre, Aitor; Lozano-Rodero, Alberto; Villamañe, Mikel; Ferrero, Begoña; Matey, Luis

doi:10.5220/0003943605430550

Proceedings of the International Conference on Computer Graphics Theory and Applications 2012

DOI: 10.5220/0003943605430550

|View full text |Cite

Olympus: An Intelligent Interactive Learning Platform for Procedural Tasks

Aitor Aguirre¹,

Alberto Lozano-Rodero²,

Mikel Villamañe³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2014

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A Novel Approach to Diagnosing Motor Skills

Aguirre

Lozano-Rodero

Matey

et al. 2014

IEEE Trans. Learning Technol.

View full text Add to dashboard Cite

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.

show abstract

A Novel Approach to Diagnosing Motor Skills

Aguirre

Lozano-Rodero

Matey

et al. 2014

IEEE Trans. Learning Technol.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Olympus: An Intelligent Interactive Learning Platform for Procedural Tasks

Cited by 1 publication

References 0 publications

A Novel Approach to Diagnosing Motor Skills

A Novel Approach to Diagnosing Motor Skills

Contact Info

Product

Resources

About