Abnormal behavioral patterns detection from activity records of institutionalized older adults

Valeria Soto-Mendoza, Jessica Beltrán, Edgar Chávez, Jehú Hernández, J. Antonio García-Macías

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

The automatic detection of behavioral changes in older adults living in geriatric centers is relevant for physicians and caregivers. These changes could indicate an incipient symptom of a disease or a steep decline in the health of the person. Abnormal pattern discovery has been studied in the context of an array of (wearable) sensors (i.e. accelerometers, infrared, cameras, etc.) dedicated to monitor the older adult. In this work we explore the use of manually annotated records, the type of records maintained by caregivers in a daily log. These annotations have low semantic value, and consist in a sequence of keywords about the activity being carried out by the older adult. This information is often overseen because it could be noisy, incomplete and redundant. We tested a data-driven approach to identify patterns from daily activity records, which were collected over six months from a group of older adults in a geriatric center. The results show that through simple data processing techniques it is posible to identify abnormal patterns in daily activities associated with behavioral changes over time.

Idioma originalInglés
Título de la publicación alojadaHuman Behavior Understanding - 6th International Workshop, HBU 2015, Proceedings
EditoresDiane J. Cook, Albert Ali Salah, Ben J.A. Kröse
EditorialSpringer Verlag
Páginas119-131
Número de páginas13
ISBN (versión impresa)9783319241944
DOI
EstadoPublicada - 2015
Publicado de forma externa
Evento6th International Workshop on Human Behavior Understanding, HBU 2015 - Osaka, Japón
Duración: 8 sep. 20158 sep. 2015

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen9277
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia6th International Workshop on Human Behavior Understanding, HBU 2015
País/TerritorioJapón
CiudadOsaka
Período8/09/158/09/15

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