Abnormal behavioral patterns detection from activity records of institutionalized older adults

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationHuman Behavior Understanding - 6th International Workshop, HBU 2015, Proceedings
EditorsDiane J. Cook, Albert Ali Salah, Ben J.A. Kröse
PublisherSpringer Verlag
Pages119-131
Number of pages13
ISBN (Print)9783319241944
DOIs
StatePublished - 2015
Externally publishedYes
Event6th International Workshop on Human Behavior Understanding, HBU 2015 - Osaka, Japan
Duration: 8 Sep 20158 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9277
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Workshop on Human Behavior Understanding, HBU 2015
Country/TerritoryJapan
CityOsaka
Period8/09/158/09/15

Keywords

  • Abnormal patterns
  • Behaviour-aware
  • Low quality annotations
  • Older adults

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