249
Views
0
CrossRef citations to date
0
Altmetric
Articles

In-Lab Development of a Mobile Interface for Cognitive Assistive Technology to Support Instrumental Activities of Daily Living in Dementia Homecare

, &

References

  • Alzheimer’s Association (2021). Alzheimer’s disease facts and figures. Special report on the next frontier of Alzheimer’s research. Retrieved June 20, 2021, from https://www.alz.org/alzheimers-dementia/facts-figures
  • Bettadapura, V., Essa, I., & Pantofaru, C. (2015). Egocentric field-of-view localization using first-person point-of-view devices. In Applications of Computer Vision (WACV), 2015 IEEE Winter Conference. IEEE.
  • Blackman, S., Matlo, C., Bobrovitskiy, C., Waldoch, A., Fang, M. L., Jackson, P., Mihailidis, A., Nygård, L., Astell, A., & Sixsmith, A. (2016). Ambient assisted living technologies for aging well: a scoping review. Journal of Intelligent Systems, 25(1), 55–69. https://doi.org/10.1515/jisys-2014-0136
  • Boletsis, C., McCallum, S., & Landmark, B. F. (2015). The use of smartwarches for health monitoring in home-based dementia care. In J. Zhout & G. Salvendy (Eds.), Human aspects of IT for the aged population. Design for everyday life. ITAP 2015. Lecture Notes in Computer Science, 9294. Springer.
  • Boots, L. M. M., de Vugt, M. E., van Knippenberg, R. J. M., Kempen, G. I. J. M., & Verhey, F. R. J. (2014). A systematic review of internet‐based supportive interventions for caregivers of patients with dementia. International Journal of Geriatric Psychiatry, 29(4), 331–344.
  • De Olivera Silva, F. (2020). Spatial naviagation and dual-task performance in patients with Dementia that present partial dependence in insturmental activity of daily living. IBRO Reports, 9, 52–57.
  • Gately, M., Tickle-Degnen, L., Trudeau, S. A., Ward, N., Ladin, K., & Moo, L. (2020). Caregiver satisfaction with a video telehealth home safety evaluation for dementia. International Journal of Telerehabilitation, 12(2), 35–42.
  • Guo, L., & Fan, G. (2021). Holistic indoor scene understanding by context-supported instance segmentation. Multimedia Tools and Applications, 1190, 1–23. https://doi.org/10.1007/s11042-021-11145-y
  • Henry, C. S., Hubbard, R. L., Struckmeyer, K. M., & Spencer, T. A. (2018). Family resilience and caregiving. In W. Bailey & A. Harrist (Eds.), Family caregiving. Emerging issues in family and individual resilience (pp. 1–26). Springer.
  • Holzinger, A., Searle, G., Kleinberger, T., Seffah, A., & Javahery, H. (2008). Investigating usability metrics for the design and development of applications for the elderly. In K. Miesenberger, J. Klaus, W. Zagler, & A. Karshmer (Eds.), Computers helping people with special needs. ICCHP 2008. Lecture Notes in Computer Science, vol 5105. Springer.
  • Ienca, M., Fabrice, J., Elger, B., Caon, M., Scoccia Pappagallo, A., Kressig, R. W., & Wangmo, T. (2017). Intelligent assistive technology for Alzheimer’s disease and other dementias. Journal of Alzheimer's Disease : JAD, 56(4), 1301–1340.
  • Kanade, T., & Hebert, M. (2012). First-person vision. Proceedings of the IEEE, 100(8), 2442–2453. https://doi.org/10.1109/JPROC.2012.2200554
  • King, A. C., & Dwan, C. (2019). Electronic memory aids for people with dementia experiencing prospective memory loss: A review of empirical studies. Dementia (London, England), 18(6), 1994–2007. https://doi.org/10.1177/1471301217735180
  • Kjellström, H., Romero, J., & Kragić, D. (2011). Visual object-action recognition: Inferring object affordances from human demonstration. Computer Vision and Image Understanding, 115(1), 81–90. https://doi.org/10.1016/j.cviu.2010.08.002
  • Lee, D. R., Taylor, J. P., & Thomas, A. J. (2012). Assessment of cognitive fluctuation in dementia: A systematic review of the literature. International Journal of Geriatric Psychiatry, 27(10), 989–998.
  • Matthews, J. T., Campbell, G. B., Hunsaker, A. E., Klinger, J., Mecca, L. P., Hu, L., Hostein, S., & Lingler, J. H. (2016). Wearable technology to garner the perspective of dementia family caregivers. Journal of Gerontological Nursing, 42(4), 16–22.
  • McAlister, C., Schmitter-Edgecombe, M., & Lamb, R. (2016). Examination of variables that may affect the relationships between cognition and funtional status in individuals with mild cognitive impairment: A meta-analysis. Archives of Clinical Neuropsychology, 31(2), 123–147.
  • McKenzie, B., Bowen, M. E., Keys, K., & Bulat, T. (2013). Safe home program: A suite of technologies to support extended home care of persons with dementia. American Journal of Alzheimer’s Disease and Other Dementias, 28(4), 348–354.
  • Meditskos, G., Plans, P. M., Stavropoulos, T. G., Benois-Pineau, J., Buso, V., & Kompatsiaris, I. (2018). Multi-modal activity recognition from egocentric vision, semantic enrichment and lifelogging applications for the care of dementia. Journal of Visual Communication and Image Representation, 51, 169–190. https://doi.org/10.1016/j.jvcir.2018.01.009
  • Mihailidis, A., Boger, J. N., Craig, T., & Hoey, J. (2008). The COACH prompting system to assist older adults with dementia through handwashing: An efficacy study. BMC Geriatrics, 8(1), 1–18. https://doi.org/10.1186/1471-2318-8-28
  • Park, M., Butcher, H. K., & Maas, M. L. (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), 345–356. https://doi.org/10.1002/nur.20031
  • Peres, K., Helmer, C., Amieva, H., Orgogozo, J. M., Rouch, I., Dartigues, J. F., & Barberger-Gateau, P. (2008). Natural history of decline in instrumental activities of daily living perforance over the 10 years preceding the clinincal diagnosis of dementia: A prospective population-based study. Journal of the American Geriatrics Society, 56(1), 37–44.
  • Ross, L., Holliman, D., & Dixon, D. R. (2003). Resiliency in family caregivers: Implications for social work practice. Journal of Gerontological Social Work, 40(3), 81–96. https://doi.org/10.1300/J083v40n03_07
  • Schaat, S., Koldrack, P., Yordanova, K., Kirste, T., & Teipel, S. (2020). Real-time detection of spatial disorientation in persons with mild cognitive impairment and dementia. Gerontology, 66(1), 85–94.
  • Siddiqua, A., & Fan, G. (2019). Asymmetric supervised deep autoencoder for depth image based 3D model retrieval. In IEEE Conference on Visual Communications and Image Processing (VCIP) 2019. Institute of Electrical and Electronics Engineers.
  • Siddiqua, A., & Fan, G. (2019). Semantics-enhanced supervised deep autoencoder for depth image-based 3D model retrieval. Pattern Recognition Letters, 125, 806–812.
  • Sorell, T., & Draper, H. (2012). Telecare, surveillance, and the welfare state. The American Journal of Bioethics : AJOB, 12(9), 36–44.
  • Yazdanpour, M., Fan, G., & Sheng, W. (2020). ManhattanFusion: Online dense reconstruction of indoor scenes from depth sequences. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2020.3036868
  • Yazdanpour, M., Fan, G., & Sheng, W. (2019). Online reconstruction of indoor scenes with local Manhattan frame growing. In IEEE Workshop on Perception beyond Visible Spectrum (PBVS), in Conjunction with CVPR 2019. Institute of Electrical and Electronics Engineers.
  • Yu, L., & Fan, G. (2021). DrsNet: Dual-resolution semantic segmentation with rare class- oriented superpixel. Multimedia Tools and Applications, 80(2), 1687–1706.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.