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

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 2024 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

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