Access the full text.
Sign up today, get DeepDyve free for 14 days.
H. Kjellström, Javier Romero, D. Kragic (2011)
Visual object-action recognition: Inferring object affordances from human demonstrationComput. Vis. Image Underst., 115
Felipe Silva, J. Ferreira, Jéssica Plácido, A. Deslandes (2020)
Spatial navigation and dual-task performance in patients with Dementia that present partial dependence in instrumental activity of daily living☆IBRO Reports, 9
M. Ienca, F. Jotterand, B. Elger, M. Caon, Alessandro Pappagallo, R. Kressig, T. Wangmo (2017)
Intelligent Assistive Technology for Alzheimer's Disease and Other Dementias: A Systematic Review.Journal of Alzheimer's disease : JAD, 60 1
Mahdi Yazdanpour, Guoliang Fan, W. Sheng (2020)
ManhattanFusion: Online Dense Reconstruction of Indoor Scenes From Depth SequencesIEEE Transactions on Visualization and Computer Graphics, 28
David Lee, John-Paul Taylor, Alan Thomas (2012)
Assessment of cognitive fluctuation in dementia: a systematic review of the literatureInternational Journal of Geriatric Psychiatry, 27
T. Sorell, H. Draper (2012)
Telecare, Surveillance, and the Welfare StateThe American Journal of Bioethics, 12
T. Kanade, M. Hebert (2012)
First-Person VisionProceedings of the IEEE, 100
Vinay Bettadapura, Irfan Essa, C. Pantofaru (2015)
Egocentric Field-of-View Localization Using First-Person Point-of-View Devices2015 IEEE Winter Conference on Applications of Computer Vision
Andreas Holzinger, Gig Searle, T. Kleinberger, A. Seffah, Homa Javahery (2008)
Investigating Usability Metrics for the Design and Development of Applications for the Elderly
J. Matthews, G. Campbell, A. Hunsaker, Julie Klinger, L. Mecca, Lu Hu, Sally Hostein, J. Lingler (2016)
Wearable Technology to Garner the Perspective of Dementia Family Caregivers.Journal of gerontological nursing, 42 4
C. Mcalister, M. Schmitter-Edgecombe, Richard Lamb (2016)
Examination of Variables That May Affect the Relationship Between Cognition and Functional Status in Individuals with Mild Cognitive Impairment: A Meta-Analysis.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists, 31 2
(2021)
Alzheimer ’ s disease facts and figures . Special report on the next frontier of Alzheimer ’ s research
Lin Guo, Guoliang Fan (2021)
Holistic indoor scene understanding by context-supported instance segmentationMultimedia Tools and Applications, 81
Mahdi Yazdanpour, Guoliang Fan, W. Sheng (2019)
Online Reconstruction of Indoor Scenes With Local Manhattan Frame Growing2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Alex Mihailidis, J. Boger, Tammy Craig, J. Hoey (2008)
The COACH prompting system to assist older adults with dementia through handwashing: An efficacy studyBMC Geriatrics, 8
Myonghwa Park, H. Butcher, M. Maas (2004)
A thematic analysis of Korean family caregivers' experiences in making the decision to place a family member with dementia in a long-term care facility.Research in nursing & health, 27 5
A. Siddiqua, Guoliang Fan (2019)
Asymmetric Supervised Deep Autoencoder for Depth Image based 3D Model Retrieval2019 IEEE Visual Communications and Image Processing (VCIP)
C. Henry, R. Hubbard, K. Struckmeyer, T. Spencer (2018)
Family Resilience and Caregiving
M. Gately, L. Tickle-Degnen, Scott Trudeau, N. Ward, K. Ladin, L. Moo (2020)
Caregiver Satisfaction with a Video Telehealth Home Safety Evaluation for DementiaInternational Journal of Telerehabilitation, 12
(2003)
Resiliency in family caregivers: Implications
Liangjiang Yu, Guoliang Fan (2020)
DrsNet: Dual-resolution semantic segmentation with rare class-oriented superpixel priorMultimedia Tools and Applications, 80
L. Boots, M. Vugt, R. Knippenberg, G. Kempen, F. Verhey (2014)
A systematic review of Internet‐based supportive interventions for caregivers of patients with dementiaInternational Journal of Geriatric Psychiatry, 29
A. King, C. Dwan (2019)
Electronic memory aids for people with dementia experiencing prospective memory loss: A review of empirical studiesDementia, 18
(2010)
Computers Helping People with Special Needs, 6179
A. Siddiqua, Guoliang Fan (2019)
Semantics-enhanced supervised deep autoencoder for depth image-based 3D model retrievalPattern recognition letters, 125
Stephanie Blackman, Claudine Matlo, Charisse Bobrovitskiy, A. Waldoch, M. Fang, Piper Jackson, Alex Mihailidis, L. Nygård, A. Astell, A. Sixsmith (2016)
Ambient Assisted Living Technologies for Aging Well: A Scoping ReviewJournal of Intelligent Systems, 25
Costas Boletsis, S. McCallum, B. Landmark (2015)
The Use of Smartwatches for Health Monitoring in Home-Based Dementia Care
Barbara McKenzie, M. Bowen, K. Keys, Tatjana Bulat (2013)
Safe Home ProgramAmerican Journal of Alzheimer's Disease & Other Dementias®, 28
Samer Schaat, Philipp Koldrack, Kristina Yordanova, T. Kirste, S. Teipel (2019)
Real-Time Detection of Spatial Disorientation in Persons with Mild Cognitive Impairment and DementiaGerontology, 66
K. Pérès, C. Helmer, H. Amièva, J. Orgogozo, I. Rouch, J. Dartigues, P. Barberger‐Gateau (2008)
Natural History of Decline in Instrumental Activities of Daily Living Performance over the 10 Years Preceding the Clinical Diagnosis of Dementia: A Prospective Population‐Based StudyJournal of the American Geriatrics Society, 56
G. Meditskos, Pierre-Marie Plans, Thanos Stavropoulos, J. Benois-Pineau, Vincent Buso, Y. Kompatsiaris (2018)
Multi-modal activity recognition from egocentric vision, semantic enrichment and lifelogging applications for the care of dementiaJ. Vis. Commun. Image Represent., 51
Abstract 5.5 million Americans have Alzheimer’s disease or some form of dementia and by mid-century, the number of people living with dementia in the United States is projected to grow to 13.8 million. About half of the persons with dementia currently live at home, 43% require occasional support, 47% daily support, and 10% continuous support; with most of this support provided by informal family caregivers. Caregivers face on-going significant risk throughout the ebb and flow of providing care, as care recipients may lose grasp of their understanding of their circumstances, relying heavily on caregivers for all aspects of support. This support includes prompting and cueing through the multi-step instrumental activities of daily living (IADLs) such as meal preparation and house-keeping which require complex cognitive processing and are cognitively demanding. This paper describes the preliminary pilot study work laying the groundwork for ongoing development of a cognitive assistive technology (CAT) to support IADLs in dementia homecare. Through a user-centered design methodology, an online survey for caregivers identified areas of the home with the highest levels of IADL needs, aiding in the development of an 800 sq ft mock-up apartment for preliminary testing of the mobile interface for the CAT tool.
Journal of Housing for the Elderly – Taylor & Francis
Published: Apr 3, 2023
Keywords: Cognitive assistive technology; dementia care; instrumental activities of daily living; user-centered design
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.