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VocabChecker: Measuring Language Abilities for Detecting Early Stage Dementia

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Eiji AramakiAuthors Info & Claims

IUI '18 Companion: Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces

Article No.: 24, Pages 1 - 2

https://doi.org/10.1145/3180308.3180332

Published: 05 March 2018 Publication History

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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.

References

[1]

Eiji Aramaki, Shuko Shikata, Mai Miyabe, and Ayae Kinoshita. 2016. Vocabulary size in speech may be an early indicator of cognitive impairment. PloS one 11, 5 (2016), e0155195.

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[2]

Kathleen C Fraser, Jed A Meltzer, and Frank Rudzicz. 2016. Linguistic features identify Alzheimer's disease in narrative speech. Journal of Alzheimer's Disease 49, 2 (2016), 407--422.

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William Jarrold, Bart Peintner, Eric Yeh, Ruth Krasnow, Harold Javitz, and Gary Swan. 2010. Language analytics for assessing brain health: Cognitive impairment, depression and pre-symptomatic Alzheimer's disease. Brain Informatics (2010), 299--307.

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[4]

Hiroki Tanaka, Hiroyoshi Adachi, Norimichi Ukita, Manabu Ikeda, Hiroaki Kazui, Takashi Kudo, and Satoshi Nakamura. 2017. Detecting Dementia Through Interactive Computer Avatars. IEEE journal of translational engineering in health and medicine 5 (2017), 1--11.

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Cited By

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Pr VS DAravindan MS G(2023)Dementia Care Using AI: Real-time Patient Trajectory Monitoring System2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)10.1109/RMKMATE59243.2023.10369231(1-6)Online publication date: 1-Nov-2023
https://doi.org/10.1109/RMKMATE59243.2023.10369231
Holloway CBhot WYong KMcCarthy ISuzuki TCarton AYang BSerougne RBoampong DTyler NCrutch SBerthouze NCho Y(2022)STEP-UP: Enabling Low-Cost IMU Sensors to Predict the Type of Dementia During Everyday Stair ClimbingFrontiers in Computer Science10.3389/fcomp.2021.8049173Online publication date: 31-Jan-2022
https://doi.org/10.3389/fcomp.2021.804917
Manchanda NAggarwal ASetya STalegaonkar S(2022)Digital Intervention for the Management of Alzheimer’s DiseaseCurrent Alzheimer Research10.2174/156720502066623020612415519:14(909-932)Online publication date: Dec-2022
https://doi.org/10.2174/1567205020666230206124155
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Index Terms

VocabChecker: Measuring Language Abilities for Detecting Early Stage Dementia
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems

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IUI '18 Companion: Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces

March 2018

141 pages

ISBN:9781450355711

DOI:10.1145/3180308

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 05 March 2018

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IUI '18 Companion Paper Acceptance Rate 63 of 127 submissions, 50%;

Overall Acceptance Rate 746 of 2,811 submissions, 27%

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Pr VS DAravindan MS G(2023)Dementia Care Using AI: Real-time Patient Trajectory Monitoring System2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)10.1109/RMKMATE59243.2023.10369231(1-6)Online publication date: 1-Nov-2023
https://doi.org/10.1109/RMKMATE59243.2023.10369231
Holloway CBhot WYong KMcCarthy ISuzuki TCarton AYang BSerougne RBoampong DTyler NCrutch SBerthouze NCho Y(2022)STEP-UP: Enabling Low-Cost IMU Sensors to Predict the Type of Dementia During Everyday Stair ClimbingFrontiers in Computer Science10.3389/fcomp.2021.8049173Online publication date: 31-Jan-2022
https://doi.org/10.3389/fcomp.2021.804917
Manchanda NAggarwal ASetya STalegaonkar S(2022)Digital Intervention for the Management of Alzheimer’s DiseaseCurrent Alzheimer Research10.2174/156720502066623020612415519:14(909-932)Online publication date: Dec-2022
https://doi.org/10.2174/1567205020666230206124155
Ditthapron AAgu ELammert A(2021)Privacy-Preserving Deep Speaker Separation for Smartphone-Based Passive Speech AssessmentIEEE Open Journal of Engineering in Medicine and Biology10.1109/OJEMB.2021.30639942(304-313)Online publication date: 2021
https://doi.org/10.1109/OJEMB.2021.3063994
Tanaka HAdachi HKazui HIkeda MKudo TNakamura S(2019)Detecting Dementia from Face in Human-Agent InteractionAdjunct of the 2019 International Conference on Multimodal Interaction10.1145/3351529.3360654(1-6)Online publication date: 14-Oct-2019
https://dl.acm.org/doi/10.1145/3351529.3360654
Koumakis LChatzaki CKazantzaki EManiadi ETsiknakis M(2019)Dementia Care Frameworks and Assistive Technologies for Their Implementation: A ReviewIEEE Reviews in Biomedical Engineering10.1109/RBME.2019.289261412(4-18)Online publication date: 2019
https://doi.org/10.1109/RBME.2019.2892614
Yousaf KMehmood ZAwan ISaba TAlharbey RQadah TAlrige M(2019)A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer’s disease (AD)Health Care Management Science10.1007/s10729-019-09486-023:2(287-309)Online publication date: 20-Jun-2019
https://doi.org/10.1007/s10729-019-09486-0

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A Survey on Early-Stage Dementia Detection Using Natural Language Processing: Datasets and Approaches

A Study on Effect of Media Therapy for the Elderly with Dementia to Nursing Care Quality

Diagnosis of Alzheimer's disease using Naive Bayesian Classifier

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