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

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 2025;16(1):345 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
  15. Vagnetti R, Camp N, Story M, Ait-Belaid K, Mitra S, Fowler Davis S, Meese H, Zecca M, Di Nuovo A, Magistro D. Social Robots and Sensors for Enhanced Aging at Home: Mixed Methods Study With a Focus on Mobility and Socioeconomic Factors. JMIR Aging 2024;7:e63092 View
  16. Ali A, Montanaro T, Sergi I, Carrisi S, Galli D, Distante C, Patrono L. An Innovative IoT and Edge Intelligence Framework for Monitoring Elderly People Using Anomaly Detection on Data from Non-Wearable Sensors. Sensors 2025;25(6):1735 View
  17. Choma J, Zaina L. Investigating quality aspects for UX evaluation of IoT-based applications in smart cities: A literature review. Science of Computer Programming 2025;245:103319 View
  18. Susnea I, Pecheanu E, Cocu A, Istrate A, Anghel C, Iacobescu P. Non-Intrusive Monitoring and Detection of Mobility Loss in Older Adults Using Binary Sensors. Sensors 2025;25(9):2755 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

Conference Proceedings

  1. Chen F, Wang Y, Lin H, Chen C, Yeh S, Wang C. 2022 18th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA). Detecting Anomalies of Daily Living of the Elderly Using Radar and Self-Comparison Method View
  2. Shahid Z, Saguna S, Åhlund C. 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC). Outlier Detection in IoT data for Elderly Care in Smart Homes View
  3. Zekri D, Snoun A, Delot T, Thilliez M. 2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA). Context Sensitive Detection of Long-term Elderly Behavior Change View
  4. Kebir S, Tabia K. 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE). Anomaly Detection in Real Scarce Data: A Case Study on Monitoring Elderly's Physical Activity and Sleep View
  5. Shahid Z, Saguna S, Ahlund C. 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC). Recognizing Seasonal Sleep Patterns of Elderly in Smart Homes Using Clustering View