Published on in Vol 5, No 6 (2017): June

Understanding Smart Home Sensor Data for Ageing in Place Through Everyday Household Routines: A Mixed Method Case Study

Understanding Smart Home Sensor Data for Ageing in Place Through Everyday Household Routines: A Mixed Method Case Study

Understanding Smart Home Sensor Data for Ageing in Place Through Everyday Household Routines: A Mixed Method Case Study

Journals

  1. Fallahzadeh R, Ghasemzadeh H, Shahrokni A. Electronic Assessment of Physical Decline in Geriatric Cancer Patients. Current Oncology Reports 2018;20(3) View
  2. Borelli E, Paolini G, Antoniazzi F, Barbiroli M, Benassi F, Chesani F, Chiari L, Fantini M, Fuschini F, Galassi A, Giacobone G, Imbesi S, Licciardello M, Loreti D, Marchi M, Masotti D, Mello P, Mellone S, Mincolelli G, Raffaelli C, Roffia L, Salmon Cinotti T, Tacconi C, Tamburini P, Zoli M, Costanzo A. HABITAT: An IoT Solution for Independent Elderly. Sensors 2019;19(5):1258 View
  3. Rodriguez Lera F, Martín Rico F, Guerrero Higueras A, Olivera V. A context‐awareness model for activity recognition in robot‐assisted scenarios. Expert Systems 2020;37(2) View
  4. Jain A, Popescu M, Keller J, Rantz M, Markway B. Linguistic summarization of in-home sensor data. Journal of Biomedical Informatics 2019;96:103240 View
  5. Wang Y, Cang S, Yu H. A survey on wearable sensor modality centred human activity recognition in health care. Expert Systems with Applications 2019;137:167 View
  6. 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
  7. Choi Y, Thompson H, Demiris G. Use of an Internet-of-Things Smart Home System for Healthy Aging in Older Adults in Residential Settings: Pilot Feasibility Study. JMIR Aging 2020;3(2):e21964 View
  8. Wang J, Spicher N, Warnecke J, Haghi M, Schwartze J, Deserno T. Unobtrusive Health Monitoring in Private Spaces: The Smart Home. Sensors 2021;21(3):864 View
  9. Chau H, Jamei E. Age-Friendly Built Environment. Encyclopedia 2021;1(3):781 View
  10. 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
  11. Chen J, Rao Y. Design and Analysis of Home Control Complex System Based on PLC Technology. Mobile Information Systems 2022;2022:1 View
  12. Shahid Z, Saguna S, Åhlund C. Detecting Anomalies in Daily Activity Routines of Older Persons in Single Resident Smart Homes: Proof-of-Concept Study. JMIR Aging 2022;5(2):e28260 View
  13. Chelberg G, Butten K, Mahoney R. Culturally Safe eHealth Interventions With Aboriginal and Torres Strait Islander People: Protocol for a Best Practice Framework. JMIR Research Protocols 2022;11(6):e34904 View
  14. Kim D, Bian H, Chang C, Dong L, Margrett J. In-Home Monitoring Technology for Aging in Place: Scoping Review. Interactive Journal of Medical Research 2022;11(2):e39005 View
  15. Chiu J, Hsieh C. Constructing Factors Related to Sociotechnical Analysis in Elderly House. Sustainability 2022;14(19):12880 View
  16. Caldeira C, Nurain N, Heintzman A, Molchan H, Caine K, Demiris G, Siek K, Reeder B, Connelly K. How do I compare to the other people?": Older Adults' Perspectives on Personal Smart Home Data for Self-Management". Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW2):1 View

Books/Policy Documents

  1. Liu Y, Fang X, Lu F, Chen X, Huang X. Algorithms and Architectures for Parallel Processing. View
  2. Nebeker C, Parrish E, Graham S. Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues. View
  3. Zhang Q, Karunanithi M. Quantifying Quality of Life. View