Recognition of audible disruptive behavior from people with dementia

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

*Autor correspondiente de este trabajo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

9 Citas (Scopus)

Resumen

Frequently, people with dementia exhibit abnormal behaviors that may cause self-injury or burden their caregivers. Some audible manifestations of these problematic behaviors are of vocal nature (e.g., shouting, mumbling, or cursing), others are environmental sounds (e.g., tapping or slamming). The timely detection of these behaviors could enact non-pharmacological interventions which in turn can assist caregivers or prevent escalation of the disruption with other fellow residents in nursing homes. We conducted a field study in a geriatric residence to gather naturalistic data. With the participation of five residents for 203 h of observation and of the 242 incidents of problematic behaviors were registered, 85% of them had a distinctive auditory manifestation. We used a combination of standard speech detection techniques, along with a novel environmental sound recognition methodology based on the entropy of the signal. We conducted experiments using realistic data, i.e., audio immersed in natural background noise. Based on classification results with F1 score above 87%, we conclude that audible cues can be used to enact non-pharmacological interventions aimed at reducing problematic behaviors, or mitigating their negative impact.

Idioma originalInglés
Páginas (desde-hasta)145-157
Número de páginas13
PublicaciónPersonal and Ubiquitous Computing
Volumen23
N.º1
DOI
EstadoPublicada - 4 feb. 2019

Nota bibliográfica

Publisher Copyright:
© 2018, Springer-Verlag London Ltd., part of Springer Nature.

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