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

Aging in Place (283) mHealth for Wellness, Behavior Change and Prevention (2872) Wearable Devices and Sensors (889) Sensors at Home and Domotics (58) Chronic Conditions (270) Falls and Emergency Detection with Sensors and other Technologies (36)

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 (21) Tweetations (12) Metrics

Journals

  1. Chifu V, Pop C, Rancea A, Morar A, Cioara T, Antal M, Anghel I. Deep Learning, Mining, and Collaborative Clustering to Identify Flexible Daily Activities Patterns. Sensors 2022;22(13):4803 View
  2. Lee B, Mohan P, Chaspari T, Ryan Ahn C. Assessing Daily Activity Routines Using an Unsupervised Approach in a Smart Home Environment. Journal of Computing in Civil Engineering 2023;37(1) View
  3. Chifu V, Cioara T, Pop C, Anghel I, Demjen D, Salomie I. Identification of Daily Living Recurrent Behavioral Patterns Using Genetic Algorithms for Elderly Care. Applied Sciences 2022;12(21):11030 View
  4. Kim J, Saguna S, Åhlund C. Acceptability of a Health Care App With 3 User Interfaces for Older Adults and Their Caregivers: Design and Evaluation Study. JMIR Human Factors 2023;10:e42145 View
  5. Komatsu K, Suenaga T, Kim J, Nakajima K. Redesigned Monitoring System for Television Usage and Light/Dark Room for Older People Living Alone. Advanced Biomedical Engineering 2023;12(0):101 View
  6. Diraco G, Rescio G, Caroppo A, Manni A, Leone A. Human Action Recognition in Smart Living Services and Applications: Context Awareness, Data Availability, Personalization, and Privacy. Sensors 2023;23(13):6040 View
  7. Lima M, Su T, Jouaiti M, Wairagkar M, Malhotra P, Soreq E, Barnaghi P, Vaidyanathan R. Discovering Behavioral Patterns Using Conversational Technology for In-Home Health and Well-Being Monitoring. IEEE Internet of Things Journal 2023;10(21):18537 View
  8. Friedrich B, Elgert L, Eckhoff D, Bauer J, Hein A. A system for monitoring the functional status of older adults in daily life. Scientific Reports 2023;13(1) View
  9. Nandikotkur A, Traore I, Mamun M. SeniorSentry: Correlation and Mutual Information-Based Contextual Anomaly Detection for Aging in Place. Sensors 2023;23(15):6752 View
  10. Shahid Z, Saguna S, Åhlund C. Multiarmed Bandits for Sleep Recognition of Elderly Living in Single-Resident Smart Homes. IEEE Internet of Things Journal 2024;11(3):4414 View
  11. Arioz U, Smrke U, Plohl N, Špes T, Musil B, Mlakar I. Scoping Review of Technological Solutions for Community Dwelling Older Adults and Implications for Instrumental Activities of Daily Living. Aging and disease 2024:0 View
  12. Wei L, Wang S. Motion Tracking of Daily Living and Physical Activities in Health Care: Systematic Review From Designers’ Perspective. JMIR mHealth and uHealth 2024;12:e46282 View
  13. Zekri D, Snoun A, Delot T, Thilliez M. A Deep Learning Based System For a Long-term Elderly Behavioral Drift Detection. SN Computer Science 2024;5(7) View
  14. Bijlani N, Maldonado O, Nilforooshan R, Barnaghi P, Kouchaki S. Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care. Computers in Biology and Medicine 2024;183:109287 View

Books/Policy Documents

  1. Khaemba N, Traoré I, Mamun M. Artificial Intelligence for Cyber-Physical Systems Hardening. View
  2. Friedrich B. Empowering Independent Living using the ICF. View