Detecting disruptive vocalizations for ambient assisted interventions for dementia

Jessica Beltrán*, René Navarro, Edgar Chávez, Jesus Favela, Valeria Soto-Mendoza, Catalina Ibarra

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Scopus citations


People suffering from dementia exhibit abnormal behaviors that can put them at risk or burden their relatives and caregivers. Many of these behaviors have acoustic manifestations, such as shouting, mumbling, cursing or making repetitive tapping. In this paper we propose an approach for detecting disruptive behavior manifested through audio. The solution proposed is an specialized speech, verbal and ambient sound detector and classifier, using speech and CASA techniques. We illustrate how the detection of these symptoms can be used to enact non-pharmacological interventions aimed at stopping such behavior or mitigating its negative impact.

Original languageEnglish
Title of host publicationAmbient Assisted Living and Daily Activities - 6th International Work-Conference, IWAAL 2014, Proceedings
EditorsLiming Luke Chen, Leandro Pecchia, Chris Nugent, José Bravo, Leandro Pecchia
PublisherSpringer Verlag
Number of pages8
ISBN (Electronic)9783319131047
StatePublished - 1 Jan 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2014.


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