This paper is in the following e-collection/theme issue:

Aging in Place (331) mHealth for Wellness, Behavior Change and Prevention (3096) Wearable Devices and Sensors (993) Sensors at Home and Domotics (68) Chronic Conditions (334) Falls and Emergency Detection with Sensors and other Technologies (43)

Published on in Vol 5, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28260, first published .
Detecting Anomalies in Daily Activity Routines of Older Persons in Single Resident Smart Homes: Proof-of-Concept Study

Detecting Anomalies in Daily Activity Routines of Older Persons in Single Resident Smart Homes: Proof-of-Concept Study

Detecting Anomalies in Daily Activity Routines of Older Persons in Single Resident Smart Homes: Proof-of-Concept Study

Authors of this article:

Zahraa Khais Shahid1, 2 Author Orcid Image ;   Saguna Saguna1 Author Orcid Image ;   Christer Åhlund1 Author Orcid Image
Article Authors Cited by (25) Tweetations (12) Metrics

Zahraa Khais Shahid   1, 2 , MSc ;   Saguna Saguna   1 , BIS (Hons), MIT, PhD ;   Christer Åhlund   1 , MSc, LicEng, PhD

1 Division of Computer Science, Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Skellefteå, Sweden

2 Information Technology Department, Skellefteå Municipality, Skellefteå, Sweden

Corresponding Author:

  • Zahraa Khais Shahid, MSc
  • Division of Computer Science
  • Department of Computer Science, Electrical and Space Engineering
  • Luleå University of Technology
  • Forskargatan 1
  • Skellefteå, 931 77
  • Sweden
  • Phone: 46 704741624
  • Email: zahraa.shahid@ltu.se