Published on in Vol 16, No 7 (2014): July

A Web-Based Non-Intrusive Ambient System to Measure and Classify Activities of Daily Living

A Web-Based Non-Intrusive Ambient System to Measure and Classify Activities of Daily Living

A Web-Based Non-Intrusive Ambient System to Measure and Classify Activities of Daily Living

Journals

  1. Teipel S, König A, Hoey J, Kaye J, Krüger F, Robillard J, Kirste T, Babiloni C. Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia. Alzheimer's & Dementia 2018;14(9):1216 View
  2. Piau A, Lepage B, Bernon C, Gleizes M, Nourhashemi F. Real-Time Detection of Behavioral Anomalies of Older People Using Artificial Intelligence (The 3-PEGASE Study): Protocol for a Real-Life Prospective Trial. JMIR Research Protocols 2019;8(11):e14245 View
  3. Liu Y, Ouyang D, Liu Y, Chen R. A Novel Approach Based on Time Cluster for Activity Recognition of Daily Living in Smart Homes. Symmetry 2017;9(10):212 View
  4. Brown E, Ruggiano N, Li J, Clarke P, Kay E, Hristidis V. Smartphone-Based Health Technologies for Dementia Care: Opportunities, Challenges, and Current Practices. Journal of Applied Gerontology 2019;38(1):73 View
  5. Lazarou I, Stavropoulos T, Meditskos G, Andreadis S, Kompatsiaris I, Tsolaki M. Long-Term Impact of Intelligent Monitoring Technology on People with Cognitive Impairment: An Observational Study. Journal of Alzheimer's Disease 2019;70(3):757 View
  6. Romero-Ayuso D, Castillero-Perea Á, González P, Navarro E, Molina-Massó J, Funes M, Ariza-Vega P, Toledano-González A, Triviño-Juárez J. Assessment of cognitive instrumental activities of daily living: a systematic review. Disability and Rehabilitation 2021;43(10):1342 View
  7. Nef T, Urwyler P, Büchler M, Tarnanas I, Stucki R, Cazzoli D, Müri R, Mosimann U. Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data. Sensors 2015;15(5):11725 View
  8. Moussa Y, Mahdanian A, Yu C, Segal M, Looper K, Vahia I, Rej S. Mobile Health Technology in Late-Life Mental Illness: A Focused Literature Review. The American Journal of Geriatric Psychiatry 2017;25(8):865 View
  9. Urwyler P, Stucki R, Rampa L, Müri R, Mosimann U, Nef T. Cognitive impairment categorized in community-dwelling older adults with and without dementia using in-home sensors that recognise activities of daily living. Scientific Reports 2017;7(1) View
  10. Saner H. Wearable Sensors for Assisted Living in Elderly People. Frontiers in ICT 2018;5 View
  11. Husebo B, Heintz H, Berge L, Owoyemi P, Rahman A, Vahia I. Sensing Technology to Monitor Behavioral and Psychological Symptoms and to Assess Treatment Response in People With Dementia. A Systematic Review. Frontiers in Pharmacology 2020;10 View
  12. König A, Crispim-Junior C, Covella A, Bremond F, Derreumaux A, Bensadoun G, David R, Verhey F, Aalten P, Robert P. Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the Means of an Automatic Video Monitoring System. Frontiers in Aging Neuroscience 2015;7 View
  13. Novais P, Carneiro D. The role of non-intrusive approaches in the development of people-aware systems. Progress in Artificial Intelligence 2016;5(3):215 View
  14. Shin Y, Park Y, Kang S. Data-Driven Knowledge-Based System for Self-Measuring Activities of Daily Living in IoT-Based Test. Applied Sciences 2020;10(14):4972 View
  15. Botros A, Schütz N, Camenzind M, Urwyler P, Bolliger D, Vanbellingen T, Kistler R, Bohlhalter S, Müri R, Mosimann U, Nef T. Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson’s Disease—Acceptance and Adherence. Sensors 2019;19(23):5169 View
  16. Mitchell L, Peterson C, Rud S, Jutkowitz E, Sarkinen A, Trost S, Porta C, Finlay J, Gaugler J. “It’s Like a Cyber-Security Blanket”: The Utility of Remote Activity Monitoring in Family Dementia Care. Journal of Applied Gerontology 2020;39(1):86 View
  17. Thorpe J, Forchhammer B, Maier A. Adapting Mobile and Wearable Technology to Provide Support and Monitoring in Rehabilitation for Dementia: Feasibility Case Series. JMIR Formative Research 2019;3(4):e12346 View
  18. Urwyler P, Rampa L, Stucki R, Büchler M, Müri R, Mosimann U, Nef T. Recognition of activities of daily living in healthy subjects using two ad-hoc classifiers. BioMedical Engineering OnLine 2015;14(1) View
  19. . Requirements and Pitfalls in AAL Projects. Guide to Self-Criticism for Developers from Experience. Informatics 2017;4(4):42 View
  20. Gerka A, Eichelberg M, Stolle C, Tietjen-Müller C, Brinkmann-Gerdes S, Hein A. Interconnected living in a quarter for persons with dementia. Informatics for Health and Social Care 2020;45(3):255 View
  21. Pais B, Buluschek P, DuPasquier G, Nef T, Schütz N, Saner H, Gatica-Perez D, Santschi V. Evaluation of 1-Year in-Home Monitoring Technology by Home-Dwelling Older Adults, Family Caregivers, and Nurses. Frontiers in Public Health 2020;8 View
  22. Stavropoulos T, Lazarou I, Diaz A, Gove D, Georges J, Manyakov N, Pich E, Hinds C, Tsolaki M, Nikolopoulos S, Kompatsiaris I. Wearable Devices for Assessing Function in Alzheimer's Disease: A European Public Involvement Activity About the Features and Preferences of Patients and Caregivers. Frontiers in Aging Neuroscience 2021;13 View
  23. Camp N, Lewis M, Hunter K, Johnston J, Zecca M, Di Nuovo A, Magistro D. Technology Used to Recognize Activities of Daily Living in Community-Dwelling Older Adults. International Journal of Environmental Research and Public Health 2020;18(1):163 View
  24. Lim Y, Baek Y, Kang S, Kang K, Lee H. Clinical application of the experimental ADL test for patients with cognitive impairment: pilot study. Scientific Reports 2021;11(1) View
  25. Xefteris S, Doulamis N, Andronikou V, Varvarigou T, Cambourakis G. Behavioral Biometrics in Assisted Living: A Methodology for Emotion Recognition. Engineering, Technology & Applied Science Research 2016;6(4):1035 View
  26. Mizuno J, Sadohara K, Nihei M, Onaka S, Nishiura Y, Inoue T. The application of an information support robot to reduce agitation in an older adult with Alzheimer’s disease living alone in a community dwelling: a case study. Hong Kong Journal of Occupational Therapy 2021:156918612110050 View
  27. Muurling M, de Boer C, Kozak R, Religa D, Koychev I, Verheij H, Nies V, Duyndam A, Sood M, Fröhlich H, Hannesdottir K, Erdemli G, Lucivero F, Lancaster C, Hinds C, Stravopoulos T, Nikolopoulos S, Kompatsiaris I, Manyakov N, Owens A, Narayan V, Aarsland D, Visser P. Remote monitoring technologies in Alzheimer’s disease: design of the RADAR-AD study. Alzheimer's Research & Therapy 2021;13(1) View
  28. Lazarou I, Stavropoulos T, Mpaltadoros L, Nikolopoulos S, Koumanakos G, Tsolaki M, Kompatsiaris I. Human Factors and Requirements of People with Cognitive Impairment, Their Caregivers, and Healthcare Professionals for mHealth Apps Including Reminders, Games, and Geolocation Tracking: A Survey-Questionnaire Study. Journal of Alzheimer's Disease Reports 2021;5(1):497 View

Books/Policy Documents

  1. Queirós A, Santos M, Dias A, da Rocha N. Usability, Accessibility and Ambient Assisted Living. View
  2. Queirós A, da Rocha N. Usability, Accessibility and Ambient Assisted Living. View
  3. Wouters E, van der Zijpp T, Nieboer M. (B)eHealth. View
  4. Klimova B. Human Aspects of IT for the Aged Population. Social Media, Games and Assistive Environments. View
  5. Borda A, Said C, Gilbert C, Smolenaers F, McGrath M, Gray K. Recent Advances in Intelligent Assistive Technologies: Paradigms and Applications. View