Research Article
Towards Unsupervised Remote Therapy for Individuals with Aphasia
538 downloads
@INPROCEEDINGS{10.1007/978-3-319-05452-0_20, author={Conor Higgins and Aine Kearns and Conor Ryan and Mikael Fernstrom and Sue Franklin}, title={Towards Unsupervised Remote Therapy for Individuals with Aphasia}, proceedings={Mobile Computing, Applications, and Services. 5th International Conference, MobiCASE 2013, Paris, France, November 7-8, 2013, Revised Selected Papers}, proceedings_a={MOBICASE}, year={2014}, month={6}, keywords={evolutionary computation therapy speech and language therapy genetic algorithm aphasia dysgraphia}, doi={10.1007/978-3-319-05452-0_20} }- Conor Higgins
Aine Kearns
Conor Ryan
Mikael Fernstrom
Sue Franklin
Year: 2014
Towards Unsupervised Remote Therapy for Individuals with Aphasia
MOBICASE
Springer
DOI: 10.1007/978-3-319-05452-0_20
Abstract
This paper discusses the use of evolutionary algorithms in mobile computing in order to provide individuals with aphasia a means of self-guided and unsupervised speech and language therapy. Traditional speech and language therapy approaches necessitate significant time commitments and are resource intensive. By harnessing evolutionary computation, therapy sessions can be generated, which consider the best practices of a speech and language professional whilst factoring in the abilities and idiosyncrasies of the user. The primary goal of this research is the provision of a self-directed rehabilitative application targeted at aphasic individuals with writing difficulties (particularly dysgraphia).
Copyright © 2013–2025 ICST
