Towards unsupervised remote therapy for individuals with aphasia

Conor Higgins, Aine Kearns, Conor Ryan, Mikael Fernstrom, Sue Franklin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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).

Original languageEnglish
Title of host publicationMobile Computing, Applications, and Services - 5th International Conference, MobiCASE 2013, Revised Selected Papers
EditorsGerard Memmi, Ulf Blanke
PublisherSpringer Verlag
Pages265-268
Number of pages4
ISBN (Print)9783319054513
DOIs
Publication statusPublished - 2014
Event5th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2013 - Paris, France
Duration: 7 Nov 20138 Nov 2013

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume130
ISSN (Print)1867-8211

Conference

Conference5th International Conference on Mobile Computing, Applications, and Services, MobiCASE 2013
Country/TerritoryFrance
CityParis
Period7/11/138/11/13

Keywords

  • Aphasia
  • Dysgraphia
  • Evolutionary computation
  • Genetic algorithm
  • Speech and language therapy
  • Therapy

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