References
- Widmann CN, Beinhoff U, Riepe MW. Everyday memory deficits in very mild Alzheimer's disease. Neurobiol Aging 2012;33:297–303
- Fardoun HM, Altalhi AH, Paules Cipres A, et al. A cloud-based framework for the management of rehabilitation processes. Pervasive Computing Technologies for Healthcare (Pervasive Health). 7th International Conference, Venice, Italy; 2013:397--400
- Klinger E, Kadri A, Sorita E, et al. AGATHE: a tool for personalized rehabilitation of cognitive functions based on simulated activities of daily living. IRBM 2013;34:113–18
- Singh NN, Lancioni GE, Sigafoos J, et al. Assistive technology for people with Alzheimer’s disease. In: Assistive technologies for people with diverse abilities. Autism and child psychopathology series. New York (NY): Springer;2014:219–50
- Aggarwal N, Vass AA, Minardi HA, et al. People with dementia and their relatives: personal experiences of Alzheimer's and of the provision of care. J Psychiatr Mental Health Nurs 2003;10:187–97
- Lindqvist E, Nygård L, Borell L. Significant junctures on the way towards becoming a user of assistive technology in Alzheimer's disease. Scand J Occupat Therap 2013;2:1–11
- Gonzalez LC, Mashat MA, Lopez SR. Creating and updating models of activities for people with Alzheimer disease: using JClic platform. Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), Venice, Italy; 2013:356–61
- Zetzsche C, Gerkensmeyer T, Schmid F, Schill K. Sensorimotor representation of space: application in autonomous systems and in a wayfinding assistant for Alzheimer’s disease. In Miao H, Lee RY, Zeng H, Baik J, eds. Proceedings of the 11th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2012). Shanghai, China: IEEE; 2012:219–24
- De Leo G, Brivio E, Sautter SW. Supporting autobiographical memory in patients with Alzheimer's disease using smart phones. Appl Neuropsychol 2011;18:69–76
- Donnelly MP, Nugent CD, Craig D, et al. Development of a cell phone-based video streaming system for persons with early stage Alzheimer's disease. Engineering in medicine and biology society. EMBS. 30th Annual International Conference of the IEEE. Vancouver, Canada: IEEE; 2008:5330–3
- Holsapple CW, Pakath R, Sasidharan S. A website interface design framework for the cognitively impaired: a study in the context of Alzheimer's disease. J Electr Commerc Res 2005;6:291–303
- Brandenburg C, Worrall L, Rodriguez AD, Copland D. Mobile computing technology and aphasia: an integrated review of accessibility and potential uses. Aphasiology 2013;27:444–61
- Greig CA, Harper R, Hirst T, et al. Barriers and facilitators to mobile phone use for people with aphasia. Top Stroke Rehabil 2008;15:307–24
- Jeong K, Han D, Moon H. Optimization of face recognition algorithms for smartphone environment. Int J Secur Appl 2013;7:303–8
- Kumar S, Singh P, Kumar V. Architecture for mobile based face detection/recognition. IJCSE Int J Comput Sci Eng 2010;2:889–94
- Wang J. Spatially enhanced local binary patterns for face detection and recognition in mobile device applications [Doctoral dissertation]. Toronto: University of Toronto; 2013:1–135
- Imaizumi K, Moshnyaga VG. Network-based face recognition on mobile devices. In: Consumer electronics. IEEE Third International Conference. Berlin: ICCE-Berlin; 2013:406–9
- Yang G, Luo JN. A real-time face recognition system for android smart phone. Adv Mater Res 2013;756:4006–10
- Dantone M, Bossard L, Quack T, Van Gool L. IEEE International conference on augmented faces. Computer Vision Workshops (ICCV Workshops). Barcelona, Spain: IEEE; 2011:24–31
- Wang H, Bao X, Choudhury RR, Nelakuditi S. InSight: recognizing humans without face recognition. Proceedings of the 14th Workshop on Mobile Computing Systems and Applications. Jekyll Island, GA: ACM; 2013. 7 p
- Turk MA, Pentland AP. IEEE Computer Society Conference on Face recognition using eigenfaces. Computer vision and pattern recognition. Proceedings CVPR'91. Maui, HI: IEEE; 1991:586–91