ACTIVA: Innovation in Quality of Care for Nursing Homes Through Activity Recognition

Alicia Montoro Lendínez, José Luis López Ruiz, Chris Nugent, Macarena Espinilla Estévez

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
7 Downloads (Pure)

Abstract

There are an increasing number of elderly people with various pathologies and care needs, making nursing homes one of the most suitable places for them to live. The demand for nursing homes is expected to increase further in the coming years due to the growing life expectancy. Human activity recognition (HAR) approaches are an excellent resource that can be deployed in nursing homes to detect an inhabitant’s activity through sensors in the environment. Despite the many theoretical approaches to HAR proposed in the literature, there is a significant lack of implementation in real environments. In this paper, we present an activity recognition approach deployed to monitor a floor of a nursing home using a mobile app called ACTIVA, which allows caregivers to track inhabitants and be notified of anomalies in real-time. The ACTIVA system relies on successful tools proposed for HAR, such as the use of fuzzy logic techniques, linguistic protoforms, and temporal windows to infer the location and activity of each inhabitant in a multi-occupancy environment. These tools have proven effective in inferring inhabitant activity and location, allowing for more precise and detailed monitoring. ACTIVA provides multiple benefits in terms of providing more information on the activities performed by residents, reducing stress for caregivers, and increasing safety for the residents being monitored. To evaluate the impact of ACTIVA app, we gathered feedback from different stakeholders and found overall positive satisfaction levels. Our approach represents a significant step towards the practical implementation of HAR approaches in real nursing home environments.
Original languageEnglish
Pages (from-to)123335-123349
Number of pages15
JournalIEEE Access
Volume11
DOIs
Publication statusPublished (in print/issue) - 2 Nov 2023

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Keywords

  • Activity recognition
  • anomaly notification
  • fuzzy logic
  • linguistic protoforms
  • monitoring of elderly people
  • nursing homes

Fingerprint

Dive into the research topics of 'ACTIVA: Innovation in Quality of Care for Nursing Homes Through Activity Recognition'. Together they form a unique fingerprint.

Cite this