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

Digital Health Reviews (1724) Artificial Intelligence (2129) Machine Learning (2076) Decision Support for Health Professionals (1539)

Published on in Vol 24, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36553, first published .
Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns

Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns

Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns

Authors of this article:

Mladjan Jovanovic1 Author Orcid Image ;   Goran Mitrov2 Author Orcid Image ;   Eftim Zdravevski2 Author Orcid Image ;   Petre Lameski2 Author Orcid Image ;   Sara Colantonio3 Author Orcid Image ;   Martin Kampel4 Author Orcid Image ;   Hilda Tellioglu4 Author Orcid Image ;   Francisco Florez-Revuelta5 Author Orcid Image
Article Authors Cited by (40) Tweetations (14) Metrics

Journals

  1. Liu Z, Wang S, Zhang Y, Feng Y, Liu J, Zhu H. Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis. Foods 2023;12(6):1242 View
  2. Márquez G, Taramasco C. Barriers and Facilitators of Ambient Assisted Living Systems: A Systematic Literature Review. International Journal of Environmental Research and Public Health 2023;20(6):5020 View
  3. Brauner P, Hick A, Philipsen R, Ziefle M. What does the public think about artificial intelligence?—A criticality map to understand bias in the public perception of AI. Frontiers in Computer Science 2023;5 View
  4. Bin Noon G, Hanjahanja-Phiri T, Dave H, Fadrique L, Teague J, Morita P. Exploring the Role of Active Assisted Living in the Continuum of Care for Older Adults: Thematic Analysis. JMIR Aging 2023;6:e40606 View
  5. Germanese D, Colantonio S, Del Coco M, Carcagnì P, Leo M. Computer Vision Tasks for Ambient Intelligence in Children’s Health. Information 2023;14(10):548 View
  6. Zhang Z, Luo Y, Huang G. Empowering Independence: A Scoping Review on Innovations in Smart Home Technology for People with Motor Disabilities. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2023;67(1):2173 View
  7. Marks R. Artificial intelligence and rehabilitation: what’s new and promising. International Physical Medicine & Rehabilitation Journal 2023;8(2):135 View
  8. Matos T, Vornicoglo D, Coelho P, Zdravevski E, Albuquerque C, Pires I. Can sensors be used to measure the Arm Curl Test results? a systematic review. Discover Applied Sciences 2024;6(2) View
  9. Zakharova I, Jarke J, Kaun A. Tensions in digital welfare states: Three perspectives on care and control. Journal of Sociology 2024;60(3):540 View
  10. Wang K, Ghafurian M, Chumachenko D, Cao S, Butt Z, Salim S, Abhari S, Morita P. Application of artificial intelligence in active assisted living for aging population in real-world setting with commercial devices – A scoping review. Computers in Biology and Medicine 2024;173:108340 View
  11. Souza L, Francisco R, Rosa Tavares J, Barbosa J. Intelligent environments and assistive technologies for assisting visually impaired people: a systematic literature review. Universal Access in the Information Society 2025;24(4):3021 View
  12. Lukkien D, Nap H, ter Stal M, Boon W, Peine A, Minkman M, Moors E. Embedding responsible innovation into R&D practices: A case study of socially assistive robot development. Journal of Responsible Technology 2024;19:100091 View
  13. Chatterjee S, Bhattacharya P, De D. LightDew: Lightweight Blockchain Assisted Dew Computing Framework for Smart Assisted Living. IEEE Transactions on Consumer Electronics 2024;70(2):4804 View
  14. Mitrov G, Stanoev B, Gievska S, Mirceva G, Zdravevski E. Combining Semantic Matching, Word Embeddings, Transformers, and LLMs for Enhanced Document Ranking: Application in Systematic Reviews. Big Data and Cognitive Computing 2024;8(9):110 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. Rodriguez-Juan J, Ortiz-Perez D, Garcia-Rodriguez J, Tomás D, J.Nalepa G. Integrating advanced vision-language models for context recognition in risks assessment. Neurocomputing 2025;618:129131 View
  17. Wang K, Saragadam A, Kaur J, Dogra A, Cao S, Ghafurian M, Butt Z, Abhari S, Chumachenko D, Morita P. A contactless method for recognition of daily living activities for older adults based on ambient assisted living technology. Internet of Things 2025;30:101502 View
  18. Zhang S, Wu L, Zhao Z, Massó J, Chen M. Artificial Intelligence in Gerontology: Data-Driven Health Management and Precision Medicine. Advances in Gerontology 2024;14(3):97 View
  19. Santos M, Zdravevski E, Albuquerque C, Coelho P, Pires I. Ten Meter Walk Test for motor function assessment with technological devices based on lower members’ movements: A systematic review. Computers in Biology and Medicine 2025;187:109734 View
  20. Zangogianni P, Kavakli E, Zhang R. From Digital era to Digital Wellbeing era. SHS Web of Conferences 2025;210:03004 View
  21. Chew B, Ngiam K. Artificial intelligence tool development: what clinicians need to know?. BMC Medicine 2025;23(1) View
  22. Doukaga H, Randrianarivelo Rakotoarson N, Roberge A, Aubin-Morneau G, Fortin P, Maitre J, Bouchard B. Comparative analysis of two methods in fine-grained activity recognition for ambient assisted living. Journal of Smart Cities and Society 2025;4(2):64 View
  23. Mir A, Khalid A, Musa S, Faizal Ahmad Fauzi M, Norfiza Abdul Razak N, Boon Tang T. Machine Learning in Ambient Assisted Living for Enhanced Elderly Healthcare: A Systematic Literature Review. IEEE Access 2025;13:110508 View
  24. Tîrziu E, Vasilevschi A, Alexandru A, Tudora E. Real-Time Fall Monitoring for Seniors via YOLO and Voice Interaction. Future Internet 2025;17(8):324 View
  25. Kim B, Jeong S, Cho B, Chung J. AI Governance in the Context of the EU AI Act. IEEE Access 2025;13:144126 View
  26. Hofstede B, Askari S, van Hoesel T, Cuijpers R, de Witte L, IJsselsteijn W, Nap H. Huggable integrated socially assistive robots: exploring the potential and challenges for sustainable use in long-term care contexts. Frontiers in Robotics and AI 2025;12 View
  27. Zamani S, Sinha R, Madanian S, Nguyen M. IoTMindCare: An Integrative Reference Architecture for Safe and Personalized IoT-Based Depression Management. Sensors 2025;25(22):6994 View

Books/Policy Documents

  1. Zhang X. Cyber Security Intelligence and Analytics. View
  2. Sharmila A, Priya E, Tamilselvan K, Anand K. Enabling Person-Centric Healthcare Using Ambient Assistive Technology. View
  3. Drossel M, Korth C. Innovationen in der Gesundheitsversorgung. View
  4. Baldissera T, De Faveri C, Oliveira M, Camarinha-Matos L. Navigating Unpredictability: Collaborative Networks in Non-linear Worlds. View
  5. Periša M, Teskera P, Cvitić I, Brillinger M. 9th EAI International Conference on Management of Manufacturing Systems. View
  6. Zdravevski E, Lameski P. Privacy-Aware Monitoring for Assisted Living. View
  7. Kopeć W, Kowalski J, Majda A, Duszyk-Bogorodzka A, Jaskulska A, Biele C. Digital Interaction and Machine Intelligence. View

Conference Proceedings

  1. Ivanovic M, Macos D. 2023 International Conference on Information Technology (ICIT). Applications of Artificial Intelligence Methods in Medicine View
  2. Li T, Zhou X, Kokubun K, Chen W. 2023 12th International Conference on Awareness Science and Technology (iCAST). Human Activity Recognition in Free Living Using a Wearable Sensor: A Two-Stage Approach View
  3. Kasirajan M, Bin Azhar M, Turner S. 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). Trustworthy Insights: A Novel Multi-Tier Explainable Framework for Ambient Assisted Living View
  4. Grubb A, Nino V, Sanchez-Cardona I, Spoletini P, Valero M. 2025 IEEE 33rd International Requirements Engineering Conference (RE). Technology Designed for Older Adults: You Can’t Spell Stakeholder without Older! View
  5. Colombo L, Conde A, Pereira L, Ranieri C. Anais do XXII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2025). Modeling complex human activities with inertial units, ambient sensors, and machine learning View

Dissertations

  1. . Unpacking the Welfare Technology Solution Discourse: An analysis of society’s perceptions of formal and informal care of older people. View