Mobile Computing, Applications, and Services. 5th International Conference, MobiCASE 2013, Paris, France, November 7-8, 2013, Revised Selected Papers

Research Article

Towards Unsupervised Remote Therapy for Individuals with Aphasia

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  • @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
Conor Higgins1,*, Aine Kearns1, Conor Ryan1, Mikael Fernstrom1, Sue Franklin1
  • 1: University of Limerick
*Contact email: conor.higgins@ul.ie

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).