Towards unsupervised remote therapy for individuals with aphasia

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).