VocabChecker: Measuring language abilities for detecting early stage dementia

Daisaku Shibata, Mai Miyabe, Shoko Wakamiya, Ayae Kinoshita, Kaoru Ito, Eiji Aramaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Recently, dementia patients have been increasing in number worldwide, necessitating the development of techniques to detect dementia as early as possible. Considering that a typical symptom of dementia, especially Alzheimer’s disease, is language impairment, speech-based dementia detection approaches have drawn much attention. This paper presents a smartphone-based dementia screening application, VocabChecker, which measures language abilities from a speech narrative via automatic speech recognition (ASR). It measures four language abilities related to dementia: number of tokens (token), number of types (type), type token ratio (TTR), and potential vocabulary size (PVS). We also reported that the use of VocabChecker has distinguished dementia patients from elderly people.

Original languageEnglish
Title of host publicationIUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450355711
DOIs
Publication statusPublished - Mar 5 2018
Externally publishedYes
Event23rd International Conference on Intelligent User Interfaces, IUI 2018 - Tokyo, Japan
Duration: Mar 7 2018Mar 11 2018

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference23rd International Conference on Intelligent User Interfaces, IUI 2018
CountryJapan
CityTokyo
Period3/7/183/11/18

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction

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