Assistive Technology for Elderly People: State of the Art Review and Future Research Agenda

References

• Albina, E. M., and A. A. Hernandez. 2019. “Assessment of the elderly on perceived needs, benefits and barriers: Inputs for the design of intelligent assistive technology.” Paper presented at the International Conference on ICT and Knowledge Engineering, 82–91. Bangkok, Thailand. doi:10.1109/ICTKE.2018.8612447
   Google Scholar
• Amin, M. G., Y. D. Zhang, and B. Boashash. 2015. “High-resolution time-frequency distributions for fall detection.” Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, 1–7. Baltimore, Maryland. doi:10.1117/12.2180139
   Google Scholar
• Astell, A. J., J. Andrews, M. Bennion, D. Clayton, E. Dove, M. Ellis, F. Hwang, C. Mcgrath, and E. A. Williams. 2018. COBALT, TUNGSTEN, and THAW: New tools for engaging older adults as technology experts. Gerontechnology 17 (suppl: 76s):76–76. doi:10.4017/gt.2018.17.s.076.00.
   Google Scholar
• Azevedo, R. F. L., and D. G. Morrow. 2018. Improving older adults’ comprehension and use of patient portal-based health information. In Pak Richard & McLaughlin, Anne Collins (Eds.), Aging, Technology and Health, 49–80. Academic Press. doi:10.1016/B978-0-12-811272-4.00003-8.
   Google Scholar
• Bailey, C., J. Doyle, S. Squires, C. Scanaill, C. W. Fan, C. Sheehan, C. Cunningham, and B. Dromey. 2011. “ENDEA”: A case study of multidisciplinary practice in the development of assisted technologies for older adults in Ireland. Journal of Assistive Technologies 5 (3):101–11. doi:10.1108/17549451111173451.
   Google Scholar
• Bauer, S. M., L. Elsaesser, and S. Arthanat. 2011. Assistive technology device classification based upon the World Health Organization’s, International Classification of Functioning, disability and health (ICF). Disability and Rehabilitation. Assistive Technology 6 (3):243–59. doi:10.3109/17483107.2010.529631.
   PubMedGoogle Scholar
• Bell, J., and T. W. Leong. 2017. “Collaborative futures: A technology design approach to support living well with dementia.” In Proceedings of the 29th Australian Conference on Computer-Human Interaction, pp. 397–401. Brisbane, Queensland, Australia. doi:10.1145/3152771.3156144
   Google Scholar
• Benham, S., M. Kang, and N. Grampurohit. 2019. Immersive virtual reality for the management of pain in community-dwelling older adults. OTJR: Occupation, Participation and Health 39 (2):90–96. doi:10.1177/1539449218817291.
   PubMed Web of Science ®Google Scholar
• Bernard, Y., M. D. Bradley, F. Hodgson, and A. D. Lloyd; In Lloyd, AD. 2013. Learning to use new technologies by older adults: Perceived difficulties, experimentation behaviour and usability. Computers in Human Behavior 29 (4):1715–24. doi:10.1016/j.chb.2013.02.006.
   Web of Science ®Google Scholar
• Bowers, L., C. B. Rebola, and P. Vela. 2014. Communication Technologies for Older Adults in Retirement Communities. In Advanced Research and Trends in New Technologies, Software, Human-Computer Interaction, and Communicability, ed. F. V. Cipolla-Ficarra, 491–501. Hershey, PA: IGI Global. http://doi.org/10.4018/978-1-4666-4490-8.ch044 .
   Google Scholar
• Bowers, S., and B. Lee. 2017. The digitized technologies for older adult’s leisure, companionship, and well-being. Journal for the Liberal Arts and Sciences 21 (2):83–94.
   Google Scholar
• Bright, A. K., and L. Coventry. 2013. “Assistive technology for older adults: Psychological and socio-emotional design requirements.” Paper presented at the ACM International Conference Proceeding Series 2504344, 1–4. Rhodes, Greece. 10.1145/2504335.2504344
   Google Scholar
• Burrows, A. B., V. Mitchell, and C. Nicolle. 2016. “Together: exploring the out-of-box experience of technology for older adults. International Journal of Mobile Human Computer Interaction 8 (2):69–82. doi:10.4018/IJMHCI.2016040104.
   Web of Science ®Google Scholar
• Bygholm, A., and A. M. Kanstrup. 2017. This is not Participatory Design–a critical analysis of eight living laboratories. In A. M. Kanstrup, A. Bygholm, P. Bertelsen, C. Christian Christian (Eds.), Participatory Design & Health Information Technology, 78–92. IOS Press. doi:10.3233/978-1-61499-740-5-78.
   Google Scholar
• Capecchi, V. 2004. New technology for elderly and disabled persons. Review Of The Economic Conditions In Italy 1:51–78.
   Google Scholar
• Cesta, A., G. Cortellessa, M. V. Giuliani, F. Pecora, M. Scopelliti, and L. Tiberio. 2008. The RoboCare Project: The User’s View. In W. Mann (Ed.), Aging, Disability and Independence, 85–104. IOS Press. doi:10.3233/978-1-58603-902-8-85.
   Google Scholar
• Chae, S., H. Ro, Y. Yang, and T. Han. 2018. “A pervasive assistive robot system including projection-camera technology for older adults.” In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, pp. 83–84. Chicago, IL. 10.1145/3173386.3177007
   Google Scholar
• Chan, C. C. H., A. W. K. Wong, T. M. C. Lee, and I. Chi. 2009. Modified automatic teller machine prototype for older adults: A case study of participative approach to inclusive design. Applied Ergonomics 40 (2):151–60. doi:10.1016/j.apergo.2008.02.023.
   PubMed Web of Science ®Google Scholar
• Chan, J. H. 2015. Digital information and communication in the ageing society. In J. Mizera-Pietraszko & S. Fong (Eds.), Advances in Digital Technologies, 3–11. IOS Press. doi:10.3233/978-1-61499-503-6-3.
   Google Scholar
• Charness, N., R. Best, and J. Evans. 2016. Supportive home health care technology for older adults: Attitudes and implementation. Gerontechnology: International Journal on the Fundamental Aspects of Technology to Serve the Ageing Society 15 (4):233–42. doi:10.4017/gt.2016.15.4.006.00.
   PubMedGoogle Scholar
• Chen, Y., Y. Hung, and H. Chen. 2016. Mobile application–Assisted cognitive behavioral therapy for insomnia in an older adult. Telemedicine and e-Health 22 (4):332–34. doi:10.1089/tmj.2015.0064.
   PubMed Web of Science ®Google Scholar
• Christoforou, E. G., A. S. Panayides, S. Avgousti, P. Masouras, and C. S. Pattichis. 2019. “An overview of assistive robotics and technologies for elderly care.” In Mediterranean Conference on Medical and Biological Engineering and Computing, pp. 971–76. Springer, Cham. DOI: 10.1007/978-3-030-31635-8_118
   Google Scholar
• Chung, J., G. Demiris, and H. J. Thompson. 2016. Ethical considerations regarding the use of smart home technologies for older adults: An integrative review. Annual Review of Nursing Research 34 (1):155–81. doi:10.1891/0739-6686.34.155.
   PubMedGoogle Scholar
• Compagna, D. and F. Kohlbacher. (2015). The limits of participatory technology development: The case of service robots in care facilities for older people. Technological Forecasting and Social Change, 93 19–31. 10.1016/j.techfore.2014.07.012
   Web of Science ®Google Scholar
• Constantin, A., C. Lai, E. Farrow, B. Alex, R. Pel-Littel, H. H. Nap, and J. Jeuring. 2019. ““Why is the doctor a man?” reactions of older adults to a virtual training doctor.” Paper presented at the Conference on Human Factors in Computing Systems - Proceedings 3312811, 1–6. Glasgow, Scotland Uk. 10.1145/3290607.3312811
   Google Scholar
• Cook, S., R. M. Baecker, C. Munteanu, and A. Walker. 2017. “Towards technologically assisted mindfulness meditation practice in older adults: An analysis of difficulties faced and design suggestions for Neurofeedback.” In International Conference on Augmented Cognition, pp. 423–42. Springer, Cham. doi:10.1007/978-3-319-58625-0_31
   Google Scholar
• Cortellessa, G., F. Fracasso, A. Umbrico, A. Cesta, P. Dionisio, L. Ciucci, F. Mayoral, E. Tamburini, M. Á. Pérez, and J. Herrero. 2020. Co-design of a TV-based home support for early stage of dementia. Journal of Ambient Intelligence and Humanized Computing 12 (4):4541–58. doi:10.1007/s12652-020-01823-4.
   Web of Science ®Google Scholar
• Coventry, L., and P. Briggs. 2016. “Mobile technology for older adults: Protector, motivator or threat?” In International Conference on Human Aspects of IT for the Aged Population, pp. 424–34. Springer, Cham. doi:10.1007/978-3-319-39943-0_41
   Google Scholar
• Czaja, S. J., W. R. Boot, N. Charness, W. A. Rogers, J. Sharit, A. D. Fisk, C. C. Lee, and S. N. Nair. 2015. The personalized reminder information and social management system (PRISM) trial: Rationale, methods and baseline characteristics. Contemporary Clinical Trials 40:35–46. doi:10.1016/j.cct.2014.11.004.
   PubMed Web of Science ®Google Scholar
• de Belen, R. A. J., T. Bednarz, and D. D. Favero. 2019. “Integrating mixed reality and internet of things as an assistive technology for elderly people living in a smart home.” In The 17th international conference on virtual-reality continuum and its applications in industry, pp. 1–2. Brisbane, QLD, Australia. doi:10.1145/3359997.3365742
   Google Scholar
• de Jong, M., M. Hettinga, V. Stara, V. Evers, and J. Li. 2019. “Eldertainment or functional necessity? how virtual agents affect the home lives of people with dementia using the quality of life (QOL-AD) scale.” In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, pp. 41–44. London, United Kingdom. doi:10.1145/3341162.3343827
   Google Scholar
• De Schutter, B., H. H. Nap, J. A. Brown, and A. R. Roberts. 2014. The promise of gerontoludic design. Gerontechnology 13 (2):277. doi:10.4017/gt.2014.13.02.131.00.
   Google Scholar
• Deen, M. J. 2015. Information and communications technologies for elderly ubiquitous healthcare in a smart home. Personal and Ubiquitous Computing 19 (3):573–99. doi:10.1007/s00779-015-0856-x.
   Web of Science ®Google Scholar
• Demiris, G., A. Z. Doorenbos, and C. Towle. 2009. Ethical considerations regarding the use of technology for older adults: The case of telehealth. Research in Gerontological Nursing 2 (2):128–36. doi:10.3928/19404921-20090401-02.
   PubMed Web of Science ®Google Scholar
• Demiris, G 2009. “Independence and shared decision making: The role of smart home technology in empowering older adults.” In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 6432–36. Minneapolis, MN: IEEE. doi:10.1109/IEMBS.2009.5333789
   Google Scholar
• Detweiler, C. A., and K. V. Hindriks. 2016. A survey of values, technologies and contexts in pervasive healthcare. Pervasive and Mobile Computing 27:1–13. doi:10.1016/j.pmcj.2015.09.002.
   Web of Science ®Google Scholar
• Diaz-Orueta, U., L. Hopper, and E. Konstantinidis. 2020. Shaping technologies for older adults with and without dementia: Reflections on ethics and preferences. Health Informatics Journal 26 (4):3215–30. doi:10.1177/1460458219899590.
   PubMed Web of Science ®Google Scholar
• Do, H. M., M. Pham, W. Sheng, D. Yang, and M. Liu. 2018. RiSH: A robot-integrated smart home for elderly care. Robotics and Autonomous Systems 101:74–92. doi:10.1016/j.robot.2017.12.008.
   Web of Science ®Google Scholar
• Drews, P., and P. Fromm. 1997. “A natural language processing approach for mobile service robot control.” In Proceedings of the IECON’97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No. 97CH36066), vol. 3, pp. 1275–77. New Orleans, LA: IEEE. doi:10.1109/IECON.1997.668494
   Google Scholar
• Eck, D., K. Schilling, B. Williger, and F. R. Lang. 2012. Evaluation of a drive assistance function for older adults. IFAC Proceedings Volumes 45 (4):176–81. doi:10.3182/20120403-3-DE-3010.00028.
   Google Scholar
• Erol, B., M. G. Amin, B. Boashash, F. Ahmad, and Y. D. Zhang. 2016. “Wideband radar based fall motion detection for a generic elderly.” In 2016 50th Asilomar Conference on Signals, Systems and Computers, pp. 1768–72. Pacific Grove, CA: IEEE. doi:10.1109/ACSSC.2016.7869686
   Google Scholar
• Estrada, M., R. Navarro-Prieto, E. Parra, and A. Ñañez. 2010. Can we improve the acceptance of e-healthcare services by elderly people? HEALTHINF 477–80. doi:10.5220/0002759604770480.
   Google Scholar
• Fausset, C., and L. Harley. 2014. Designing home health technologies for older adults: The human systems integration approach. Biomedical Instrumentation & Technology 48 (5):361–65. doi:10.2345/0899-8205-48.5.361.
   PubMedGoogle Scholar
• Franz, R. L., C. Munteanu, B. B. Neves, and R. Baecker. 2015. “Time to retire old methodologies? Reflecting on conducting usability evaluations with older adults.” In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, pp. 912–15. Copenhagen, Denmark. doi:10.1145/2786567.2794303
   Google Scholar
• Frögren, J., M. Quitana, P. Anderberg, and J. S. Berglund. 2018. Designing a model app for older persons with cognitive impairment: Insights from a usability perspective. Gerontechnology 17 (s):80. doi:10.4017/gt.2018.17.s.079.00.
   Google Scholar
• Fronemann, N., K. Pollmann, A. Weisener, and M. Peissner. 2016. “Happily ever after: Positive aging through positive design.” In Proceedings of the 9th Nordic Conference on Human-Computer Interaction, pp. 1–6. Gothenburg, Sweden. doi:10.1145/2971485.2996740
   Google Scholar
• Fukuda, R. 2011. “Affective technology for older adults: Does fun technology affect older adults and change their lives?” In International Conference on Universal Access in Human-Computer Interaction, pp. 140–48. Springer, Berlin, Heidelberg. doi:10.1007/978-3-642-21663-3_15
   Google Scholar
• Gamberini, L., M. A. Raya, G. Barresi, M. Fabregat, F. Ibanez, and L. Prontu. 2006. Cognition, technology and games for the elderly: An introduction to ELDERGAMES Project. Journal of Psychnoogy 4 (3):285–308.
   Google Scholar
• Ganesan, B., T. Gowda, A. Al-Jumaily, K. N. K. Fong, S. K. Meena, and R. K. Y. Tong. 2019. Ambient assisted living technologies for older adults with cognitive and physical impairments: A review. European Review for Medical and Pharmacological Sciences 23 (23):10470–81. doi:10.26355/eurrev_201912_19686.
   PubMed Web of Science ®Google Scholar
• Gerling, K., and R. Mandryk. 2014. Custom-designed motion-based games for older adults: A review of literature in human-computer interaction. Gerontechnology 12 (2):68–80. doi:10.4017/gt.2013.12.2.001.00.
   Google Scholar
• Glusker, A. 2014. Public libraries could better serve older adults by having more programming specifically directed toward them. Evidence Based Library and Information Practice 9 (4):70–72. doi:10.18438/B8SG7C.
   Google Scholar
• Gövercin, M., Y. Költzsch, M. Meis, S. Wegel, M. Gietzelt, J. Spehr, S. Winkelbach, M. Marschollek, and E. Steinhagen-Thiessen. 2010. Defining the user requirements for wearable and optical fall prediction and fall detection devices for home use. Informatics for Health & Social Care 35 (3–4):177–87. doi:10.3109/17538157.2010.528648.
   PubMed Web of Science ®Google Scholar
• Grossi, G., R. Lanzarotti, P. Napoletano, N. Noceti, and F. Odone. 2020. Positive technology for elderly well-being: A review. Pattern Recognition Letters 137:61–70. doi:10.1016/j.patrec.2019.03.016.
   Web of Science ®Google Scholar
• Guerette, P., and P. Anthony. 1999. Assistive technology for older adults: Opportunities for advocacy. Home Health Care Management & Practice 11 (3):17–24. doi:10.1177/108482239901100307.
   Google Scholar
• Gustafson, D. H., F. McTavish, S. Gatzke, C. Glowacki, B. Iverson, P. Batemon, and R. A. Johnson. 2017. The use of asset-based community development in a research project aimed at developing mHealth technologies for older adults. In J. J. Rehg, S. Murphy & S. Kumar (Eds.), Mobile Health, 83–99. Cham: Springer. doi:10.1007/978-3-319-51394-2_5.
   Google Scholar
• Haddad, S., J. McGrenere, and C. Jacova. 2014. “Interface design for older adults with varying cultural attitudes toward uncertainty.” Paper presented at the Conference on Human Factors in Computing Systems - Proceedings, pp. 1913–22. Toronto, Ontario, Canada. doi:10.1145/2556288.2557124
   Google Scholar
• Hakobyan, L., J. Lumsden, R. Shaw, and D. O’Sullivan. 2016. “A longitudinal evaluation of the acceptability and impact of a diet diary app for older adults with age-related macular degeneration.” In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services, pp. 124–34. Florence, Italy. doi:10.1145/2935334.2935356
   Google Scholar
• Helal, S., S. Lim, R. Bose, H. Yang, H. Kim, and Y. Cho. 2008. “Experience of enhancing the space sensing of networked robots using atlas service-oriented architecture.” In Asia-Pacific Conference on Computer Human Interaction, pp. 1–10. Springer, Berlin, Heidelberg. doi:10.1007/978-3-540-70585-7_1
   Google Scholar
• Hickey, S., G. Yamamoto, A. Pitkanen, J. Hyry, and D. Yoshitake. 2009. “Implementation of a picture based user interface to assist the elderly suffering from memory problems.” In Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry, pp. 351–56. Yokohama, Japan. doi:10.1145/1670252.1670331
   Google Scholar
• Higgins, P. G., and A. Glasgow. 2010. “Home technology design for the cognitively impaired.” In Proceedings of the 28th Annual European Conference on Cognitive Ergonomics, pp. 23–26. Delft, Netherlands. doi:10.1145/1962300.1962308
   Google Scholar
• Ho, G., L. M. Kiff, T. Plocher, and K. Z. Haigh. 2005. “A model of trust and reliance of automation technology for older users.” In AAAI Fall Symposium: Caring Machines, pp. 45–50. Arlington, Virginia, USA.
   Google Scholar
• Huijnen, C. 2011. The use of assistive technology to support the wellbeing and independence of people with memory impairments. In J. Soar (Ed.), Intelligent technologies for bridging the grey digital divide, 65–79. IGI Global. doi:10.4018/978-1-61520-825-8.ch005.
   Google Scholar
• Hyysalo, S. 2006. Representations of use and practice-bound imaginaries in automating the safety of the elderly. Social Studies of Science 36 (4):599–626. doi:10.1177/0306312706058426.
   Web of Science ®Google Scholar
• Iancu, I., and B. Iancu. 2020. Designing mobile technology for elderly. A theoretical overview. Technological Forecasting and Social Change 155:119977. doi:10.1016/j.techfore.2020.119977.
   Web of Science ®Google Scholar
• Ijaz, K., N. Ahmadpour, S. L. Naismith, and R. A. Calvo. 2019. An immersive virtual reality platform for assessing spatial navigation memory in predementia screening: Feasibility and usability study. JMIR Mental Health 6 (9):e13887. doi:10.2196/13887.
   PubMed Web of Science ®Google Scholar
• Iversen, T. R., and S. G. Joshi. 2015. Exploring spatial interaction in assistive technology through prototyping. Procedia Manufacturing 3:158–65. doi:10.1016/j.promfg.2015.07.121.
   Google Scholar
• Joshi, S. G., and H. Bråthen. 2016. “The role of materials in design of familiar and contextual assistive technologies.” In Proceedings of International Conferences Interfaces and Human Computer Interaction, pp. 101–09. Madeira, Portugal.
   Google Scholar
• Joshi, S. G. 2019. Using embodied experiences to re-design enabling technologies. Journal of Enabling Technologies 13 (1):3–16. doi:10.1108/JET-06-2018-0028.
   Web of Science ®Google Scholar
• Jung, S., H. Meng, and S. Qin. 2017. Exploring challenges in developing a smart and effective assistive system for improving the experience of the elderly drivers. Chinese Journal of Mechanical Engineering 30 (5):1133–49. doi:10.1007/s10033-017-0165-6.
   Web of Science ®Google Scholar
• Jung, S., and S. Qin. 2014. Development of safe-driving-system features for elderly drivers. Systems Science & Control Engineering: An Open Access Journal 2 (1):699–706. doi:10.1080/21642583.2014.924083.
   Google Scholar
• Jutai, J. W., M. J. Fuhrer, L. Demers, M. J. Scherer, and F. DeRuyter. 2005. Toward a taxonomy of assistive technology device outcomes. American Journal of Physical Medicine & Rehabilitation 84 (4):294–302. doi:10.1097/01.PHM.0000157313.88732.DC.
   PubMed Web of Science ®Google Scholar
• Juzwishin, D., H. McNeil, J. Ahn, Y. Chen, A. Cicchetti, N. Kume, L. Brooks, and P. Stolee. 2018. Aging and health technology assessment: An idea whose time has come. International Journal of Technology Assessment in Health Care 34 (5):442–46. doi:10.1017/S0266462318000600.
   PubMed Web of Science ®Google Scholar
• Karunanithi, M. 2007. Monitoring technology for the elderly patient. Expert Review of Medical Devices 4 (2):267–77. doi:10.1586/17434440.4.2.267.
   PubMed Web of Science ®Google Scholar
• Kenner, A. M. 2008. “Securing the elderly body: Dementia, surveillance, and the politics of aging in place”. Surveillance & Society 5 (3):252–69. doi:10.24908/ss.v5i3.3423.
   Google Scholar
• Khakurel, J., A. Knutas, H. Melkas, B. Penzenstadler, and J. Porras. 2018. “Crafting usable quantified self-wearable technologies for older adult.” In International Conference on Applied Human Factors and Ergonomics, pp. 75–87. Springer, Cham. doi:10.1007/978-3-319-94619-1_8
   Google Scholar
• Kieffer, S., C. Swine, and B. Macq. 2011. “Supporting the participation in social life of frail older adults in a one-day clinic.” In IADIS International Conference Interfaces and Human Computer Interaction, 404–08. Rome. http://hdl.handle.net/2078.1/89249
   Google Scholar
• Kim, D. E., H. Kim, J. Hyun, H. Lee, H. Sung, S. Bae, J. Y. Yoon, Y.-H. Park, and J. Y. Yoon. 2018. Interventions using technologies for older adults in long-term care facilities: A systematic review. Journal of Korean Academy of Community Health Nursing 29 (2):170–83. doi:10.12799/jkachn.2018.29.2.170.
   Google Scholar
• Kim, H. N., and B. Oumarou. 2020. User requirement analysis for smart voice technology for older adults with visual impairments. International Journal of Human-Computer Interaction 36 (16):1551–57. doi:10.1080/10447318.2020.1768676.
   Web of Science ®Google Scholar
• Kleinberger, R., A. Rieger, J. Sands, and J. Baker. 2019. “Supporting elder connectedness through cognitively sustainable design interactions with the memory music box.” In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, pp. 355–69. New Orleans, LA. doi:10.1145/3332165.3347877
   Google Scholar
• Ko, M., S. Kim, K. Lee, M. Kim, and K. Kim. 2017. “Single camera based 3D tracking for outdoor fall detection toward smart healthcare.” In 2017 2nd International Conference on Bio-engineering for Smart Technologies (BioSMART), pp. 1–4. Paris, France: IEEE. doi:10.1109/BIOSMART.2017.8095331
   Google Scholar
• Kolkowska, E., I. Scandurra, A. A. Nöu, M. Sjölinder, and M. Memedi. 2018. “A user-centered ethical assessment of welfare technology for elderly.” In International Conference on Human Aspects of IT for the Aged Population, pp. 59–73. Springer, Cham. doi:10.1007/978-3-319-92037-5_6
   Google Scholar
• Kötteritzsch, A., and B. Weyers. 2016. Assistive technologies for older adults in urban areas: A literature review. Cognitive Computation 8 (2):299–317. doi:10.1007/s12559-015-9355-7.
   Web of Science ®Google Scholar
• Kristoffersson, A., S. Coradeschi, A. Loutfi, and K. Severinson-Eklundh. 2011. An Exploratory Study of Health Professionals’ attitudes about robotic telepresence technology. Journal of Technology in Human Services 29 (4):263–83. doi:10.1080/15228835.2011.639509.
   Google Scholar
• Kurnianingsih, K., L. E. Nugroho, W. Widyawan, L. Lazuardi, A. S. Prabuwono, and T. Mantoro. 2018. Personalized adaptive system for elderly care in smart home using fuzzy inference system. International Journal of Pervasive Computing and Communications 14 (3–4):210–32. doi:10.1108/IJPCC-D-18-00002.
   Web of Science ®Google Scholar
• Kurnianingsih, L. E. N., L. L. Widyawan, and A. S. Prabuwono. 2016. “Emergency alert prediction for elderly based on supervised learning.” In 2016 1st International Conference on Biomedical Engineering (IBIOMED), pp. 1–6. Yogyakarta, Indonesia: IEEE. doi:10.1109/IBIOMED.2016.7869816
   Google Scholar
• Lasheng, Y., L. Jie, and Z. Beiji. 2012. Research on a multi-agent based integrated health monitoring system for the elderly at home. In Y. Zhang (Ed.), Future wireless networks and information systems, 155–61. Berlin, Heidelberg: Springer. doi:10.1007/978-3-642-27323-0_20.
   Google Scholar
• Lassen, A. J., J. Bønnelycke, and L. Otto. 2015. Innovating for ‘active ageing’in a public–private innovation partnership: Creating doable problems and alignment. Technological Forecasting and Social Change 93:10–18. doi:10.1016/j.techfore.2014.01.006.
   Web of Science ®Google Scholar
• Lebrón, J., K. Escalante, J. Coppola, and C. Gaur. 2015. “Activity tracker technologies for older adults: Successful adoption via intergenerational telehealth.” In 2015 Long Island Systems, Applications and Technology, pp. 1–6. Farmingdale, NY: IEEE. doi:10.1109/LISAT.2015.7160200
   Google Scholar
• Lee, C., and J. F. Coughlin. 2015. “USER involvement in product design practices: A case study on technologies for older adults.” Paper presented at the Proceedings of the International Conference on Engineering Design, 33–44. Milan, Italy.
   Google Scholar
• Lee, R. Y. W., and A. J. Carlisle. 2011. Detection of falls using accelerometers and mobile phone technology. Age and Ageing 40 (6):690–96. doi:10.1093/ageing/afr050.
   PubMed Web of Science ®Google Scholar
• Lemlouma, T., and M. A. Chalouf. 2012. “Smart media services through tv sets for elderly and dependent persons.” In International Conference on Wireless Mobile Communication and Healthcare, pp. 30–40. Springer, Berlin, Heidelberg. doi:10.1007/978-3-642-37893-5_4
   Google Scholar
• Leonardi, C., C. Mennecozzi, E. Not, F. Pianesi, M. Zancanaro, F. Gennai, and A. Cristoforetti. 2009. “Knocking on elders’ door: Investigating the functional and emotional geography of their domestic space.” In Proceedings of the SIGCHI conference on human factors in computing systems, pp. 1703–12. Boston, MA. doi:10.1145/1518701.1518963
   Google Scholar
• Li, J., Q. Ma, A. H. S. Chan, and S. S. Man. 2019. Health monitoring through wearable technologies for older adults: Smart wearables acceptance model. Applied Ergonomics 75:162–69. doi:10.1016/j.apergo.2018.10.006.
   PubMed Web of Science ®Google Scholar
• Lin, C., Y. Huang, L. Chen, and J. Hong. 2019. Implementation of fuzzy localization system based on radio-frequency identification technology for elderly people. Sensors and Materials 31 (2):559–67. doi:10.18494/SAM.2019.2132.
   Web of Science ®Google Scholar
• Liu, L., E. Stroulia, I. Nikolaidis, A. Miguel-Cruz, and A. Rincon. 2016. Smart homes and home health monitoring technologies for older adults: A systematic review. International Journal of Medical Informatics 91:44–59. doi:10.1016/j.ijmedinf.2016.04.007.
   PubMed Web of Science ®Google Scholar
• Lohan, S., O. Cramariuc, Ł. Malicki, N. S. Brenčič, and B. Cramariuc. 2015. “Analytic Hierarchy Process for assessing e-health technologies for elderly indoor mobility analysis.” In Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare, pp. 54–57. London, Great Britain. doi:10.4108/eai.14-10-2015.2261667
   Google Scholar
• Lorenzen-Huber, L., M. Boutain, L. J. Camp, K. Shankar, and K. H. Connelly. 2011. Privacy, technology, and aging: A proposed framework. Ageing International 36 (2):232–52. doi:10.1007/s12126-010-9083-y.
   Google Scholar
• Marin, M., and A. Lorena. 2014. “Social networking sites photos and robots: A pilot research on facebook photo albums and robotics interfaces for older adults.” In Proceedings of the second international conference on Human-agent interaction, pp. 287–91. Tsukuba, Japan. doi:10.1145/2658861.2658944
   Google Scholar
• Martinez-Martin, E., and A. P. Del Pobil. 2018. Personal robot assistants for elderly care: An overview. Personal Assistants: Emerging Computational Technologies 77–91. doi:10.1007/978-3-319-62530-0_5.
   Google Scholar
• Matthews, J. T., S. J. Engberg, J. Glover, M. Pollack, and S. Thrun. 2004. Robotic assistants for the elderly: Designing and conducting field studies. Paper presented at the Proceedings of the IASTED International Conference on Robotics and Applications, 101–06. Honolulu, Hawaii. Retrieved from www.scopus.com
   Google Scholar
• Mattison, C. A., K. Waddell, R. H. Wang, and M. G. Wilson. 2017. Citizen and stakeholder perspectives about approaches to enhance equitable access to assistive technologies for older adults. AAATE Conf 48–51. doi:10.3233/978-1-61499-798-6-48.
   Google Scholar
• Maus, M., B. Belza, N. Chi, R. Hunter, S. Mullen, and W. A. Satariano. 2016. Wayfinding technologies for older adults with visual impairments: Ideas for future directions. Journal of Visual Impairment & Blindness 110 (6):477–80. doi:10.1177/0145482X1611000613.
   Web of Science ®Google Scholar
• McSweeney-Feld, M. H. 2017. Assistive technology and older adults in disasters: Implications for emergency management. Disaster Medicine and Public Health Preparedness 11 (1):135–39. doi:10.1017/dmp.2016.160.
   PubMed Web of Science ®Google Scholar
• Megalingam, R., A. Thulasi, and R. Krishna. 2012. Methods of wheelchair navigation: Novel gesture recognition method. International Journal of Applied Engineering Research 7(11):1654–58.
   Google Scholar
• Melyani, M., H. Prabowo, A. N. Hidayanto, and F. L. Gaol. 2019. Smart home component using Orange technology for elderly people: A systematic literature. Paper presented at the 1st 2018 Indonesian Association for Pattern Recognition International Conference, INAPR 2018 - Proceedings, 166–71. Jakarta, Indonesia. doi:10.1109/INAPR.2018.8626998
   Google Scholar
• Mich, O., G. Schiavo, M. Ferron, and N. Mana. 2020. Framing the design space of multimodal mid-air gesture and speech-based interaction with mobile devices for older people. International Journal of Mobile Human Computer Interaction (IJMHCI) 12 (1):22–41. doi:10.4018/IJMHCI.2020010102.
   Web of Science ®Google Scholar
• Minagawa, Y., and Y. Saito. 2014. An analysis of the impact of cell phone use on depressive symptoms among Japanese elders. Gerontology 60 (6):539–47. doi:10.1159/000363059.
   PubMed Web of Science ®Google Scholar
• Moher, D., A. Liberati, J. Tetzlaff, D. G. Altman, and P. Group. 2009 . Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine 7 (7):e1000097. doi:10.1371/journal.pmed.1000097.
   Google Scholar
• Molnar, L. J., and D. W. Eby. 2017. Implications of advanced vehicle technologies for older drivers. Accident Analysis & Prevention 106:457–59. doi:10.1016/j.aap.2017.06.017.
   PubMed Web of Science ®Google Scholar
• Money, A. G., S. Fernando, L. Lines, and A. D. Elliman. 2010. Assessing online-form complexity for the development of assistive technologies for older adults. Journal of Computing and Information Technology 18 (3):257–74. doi:10.2498/cit.1001729.
   Google Scholar
• Moser-Siegmeth, V., and K. Hofer. 2013. Assistive technologies for elderly people - benefit for end users and challenges in application. SWS - Rundschau 53:57–72.
   Google Scholar
• Moutacalli, M. T., K. Bouchard, A. Bouzouane, and B. Bouchard. 2014. “Activity prediction based on tme series forcasting.” In Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence. WS, 32–37. Québec, Canada.
   Google Scholar
• Nait Aicha, A., G. Englebienne, and B. Kröse. 2017. Unsupervised visit detection in smart homes. Pervasive and Mobile Computing 34:157–67. doi:10.1016/j.pmcj.2016.05.003.
   Web of Science ®Google Scholar
• Nicenboim, I., M. Kitazaki, T. Kihara, A. T. Marin, and M. Havranek. 2018. “Connected resources: A novel approach in designing technologies for older people.” In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1–4. Montreal QC, Canada. doi:10.1145/3170427.3186527
   Google Scholar
• Nihei, M., G. Deguchi, R. Ishiwata, M. Misegawa, and T. Inoue. 2011. Practical evaluation protocol for new assistive technology for elderly with cognitive impairment. In G. J. Gelderblom, M. Soede, L. Adriaens, K. Miesenberger (Eds.), Everyday technology for independence and care, 262–69. IOS Press.
   Google Scholar
• Nimrod, G. 2010. Seniors’ online communities: A quantitative content analysis. The Gerontologist 50 (3):382–92. doi:10.1093/geront/gnp141.
   PubMed Web of Science ®Google Scholar
• Oh, J., and J. Kang. 2019. Implementation of disaster evacuation guidance system using beacon technology for elderly care facilities. International Journal of Recent Technology and Engineering 8(2S6): 42–47. doi:10.35940/ijrte.B1009.0782S619.
   Google Scholar
• Oxley, J., J. Charlton, D. Logan, S. O’Hern, S. Koppel, and L. Meuleners. 2019. Safer vehicles and technology for older adults. Traffic Injury Prevention 20 (2):S176–S179. doi:10.1080/15389588.2019.1661712.
   PubMed Web of Science ®Google Scholar
• Pachana, N. A., and E. E. Poulsen. 2011. Thinking outside the box: Novel uses of technology to promote well-being in older populations. In Intelligent technologies for bridging the grey digital divide, 111–21. IGI Global. J. Soar, R. Swindell, P. Tsang (Eds.), doi:10.4018/978-1-61520-825-8.ch008.
   Google Scholar
• Park, S., and H. A. Kautz. 2008. “Privacy-preserving recognition of activities in daily living from multi-view silhouettes and rfid-based training.” In AAAI Fall symposium: AI in eldercare: new solutions to old problems, pp. 70–77. FS-08-02 70–77. Arlington, Virginia.
   Google Scholar
• Parsons, S., H. Daniels, J. Porter, and C. Robertson. 2008. Resources, staff beliefs and organizational culture: Factors in the use of information and communication technology for adults with intellectual disabilities. Journal of Applied Research in Intellectual Disabilities 21 (1):19–33. doi:10.1111/j.1468-3148.2007.00361.x.
   Web of Science ®Google Scholar
• Peleg-Adler, R., J. Lanir, and M. Korman. 2018. The effects of aging on the use of handheld augmented reality in a route planning task. Computers in Human Behavior 81:52–62. doi:10.1016/j.chb.2017.12.003.
   Web of Science ®Google Scholar
• Pérez-Espinosa, H., J. Martínez-Miranda, I. Espinosa-Curiel, J. Rodríguez-Jacobo, and H. Avila-George. 2017. Using acoustic paralinguistic information to assess the interaction quality in speech-based systems for elderly users. International Journal of Human-Computer Studies 98:1–13. doi:10.1016/j.ijhcs.2016.09.013.
   Web of Science ®Google Scholar
• Petrovčič, A., A. Rogelj, and V. Dolničar. 2018. Smart but not adapted enough: Heuristic evaluation of smartphone launchers with an adapted interface and assistive technologies for older adults. Computers in Human Behavior 79:123–36. doi:10.1016/j.chb.2017.10.021.
   Web of Science ®Google Scholar
• Philip, L., A. Roberts, M. Currie, and A. Mort. 2015. Technology for older adults: Maximising personal and social interaction: Exploring opportunities for eHealth to support the older rural population with chronic pain. Scottish Geographical Journal 131 (3–4):181–93. doi:10.1080/14702541.2014.978806.
   Web of Science ®Google Scholar
• Piper, A. M., R. C. Garcia, and R. N. Brewer. 2016. Understanding the challenges and opportunities of smart mobile devices among the oldest old. International Journal of Mobile Human Computer Interaction (IJMHCI) 8 (2):83–98. doi:10.4018/IJMHCI.2016040105.
   Google Scholar
• Pratesi, A., J. Sixsmith, and R. Woolrych. 2013. Technological and methodological innovation: Working” with” and” for” older people to develop a smart activity monitoring system. The Innovation Journal 18 (3):2.
   Google Scholar
• Proffitt, R., and B. Lange. 2012. User centered design and development of a game for exercise in older adults. International Journal of Technology, Knowledge & Society 8 (5):95–112. doi:10.18848/1832-3669/CGP/v08i05/56330.
   Google Scholar
• Qian, Z., and Z. Bi. 2015. Recent development of rehabilitation robots. Advances in Mechanical Engineering 7 (2):563062. doi:10.1155/2014/563062.
   Web of Science ®Google Scholar
• Qushem, U. B., A. R. B. A. Dahlan, and A. S. B. M. Ghani. 2016. “My emergency assistant device: A conceptual solution in enhancing the quality of life for the disabled and elderly.” In 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M), pp. 82–87. Jakarta, Indonesia: IEEE. doi:10.1109/ICT4M.2016.26
   Google Scholar
• Rashidi, P. 2012. “Assisted living technologies for older adults.” In Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, pp. 875–78. Miami, Florida. doi:10.1145/2110363.2110478
   Google Scholar
• Rebola, C. B., and B. Jones. 2013. “Sympathetic devices: Designing technologies for older adults.” In Proceedings of the 31st ACM international conference on Design of communication, pp. 151–56. Greenville, North Carolina. doi:10.1145/2507065.2507083
   Google Scholar
• Rice, M., A. Newell, and M. A. G. G. I. E. Morgan. 2007. Forum Theatre as a requirements gathering methodology in the design of a home telecommunication system for older adults. Behaviour & Information Technology 26 (4):323–31. doi:10.1080/01449290601177045.
   Web of Science ®Google Scholar
• Rodas, B., D. L. M., and M. Marchese. 2018. An evaluation framework for groups’ clustering algorithms in social networks-the use case of a meetup dataset of older adults. Fuzzy Systems and Data Mining IV 417–27. doi:10.3233/978-1-61499-927-0-417.
   Google Scholar
• Rogelj, V., E. Drobež, M. Kavšek, and D. Bogataj. 2019. Capacity planning for ambient assisted living. IFAC-PapersOnLine 52 (19):265–70. doi:10.1016/j.ifacol.2019.12.106.
   Google Scholar
• Sánchez, V. G., I. Taylor, and P. C. Bing-Jonsson. 2017. Ethics of smart house welfare technology for older adults: A systematic literature review. International Journal of Technology Assessment in Health Care 33 (6):691–99. doi:10.1017/S0266462317000964.
   PubMed Web of Science ®Google Scholar
• Scherer, M. J. 2017. Assistive technology for older adults. Geriatric rehabilitation from bedside to curbside, 591–603. Boca Raton: Taylor & Francis Group. doi: 10.1201/9781315373904.
   Google Scholar
• Schillmeier, M., and M. Domènech. 2016. New technologies and emerging spaces of care–an introduction. In M. Domènech & M. Schillmeier (Eds.), New technologies and emerging spaces of care, 17–34. Routledge.
   Google Scholar
• Schulz, R., H. Wahl, J. T. Matthews, A. D. V. Dabbs, S. R. Beach, and S. J. Czaja. 2015. Advancing the aging and technology agenda in gerontology. The Gerontologist 55 (5):724–34. doi:10.1093/geront/gnu071.
   PubMed Web of Science ®Google Scholar
• Seaborn, K., P. Pennefather, and D. I. Fels. 2015. Eudaimonia in human factors research and practice-foundations and conceptual framework applied to older adult populations. In Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health, 1, 313–18. Lisbon, Portugal .
   Google Scholar
• Searcy, R. P., J. Summapund, D. Estrin, J. P. Pollak, A. Schoenthaler, A. B. Troxel, and J. A. Dodson. 2019. Mobile health technologies for older adults with cardiovascular disease: Current evidence and future directions. Current Geriatrics Reports 8 (1):31–42. doi:10.1007/s13670-019-0270-8.
   Web of Science ®Google Scholar
• Sejunaite, K., C. Lanza, S. Ganders, A. Iljaitsch, and M. W. Riepe. 2017. Augmented reality: Sustaining autonomous way-finding in the community for older persons with cognitive impairment. The Journal of Frailty & Aging 6:206–11. doi:10.14283/jfa.2017.25.
   PubMed Web of Science ®Google Scholar
• Siciliano, M., L. Redington, D. Lindeman, P. Housen, and S. Enguidanos. 2014. Lessons from the trenches: Adopting medication technology within agencies serving older adults. Ageing International 39 (3):259–73. doi:10.1007/s12126-013-9194-3.
   Google Scholar
• Sjölinder, M., and I. Scandurra. 2015. “Effects of using care professionals in the development of social technology for elderly.” In International Conference on Human Aspects of IT for the Aged Population, pp. 181–92. Springer, Cham. doi:10.1007/978-3-319-20913-5_17
   Google Scholar
• Spinelli, G., M. Micocci, and M. Ajovalasit. 2017. Behaviours: Older adults’ behavioural strategies in the adoption of new technology-based products: The effects of ageing and the promising application of smart materials for the design of smart products. In E. Tsekleves & R. Cooper (Eds.), Design for health, 358–74. London: Routledge. doi:10.4324/9781315576619.
   Google Scholar
• Spinsante, S., A. Strazza, C. Dobre, L. Bajenaru, C. X. Mavromoustakis, J. M. Batalla, P. Krawiec, Georg, G . 2019. “Integrated consumer technologies for older adults’ quality of life improvement: The vINCI Project.” In 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT) , pp. 273–78. Ancona, Italy: IEEE. doi:10.1109/ISCE.2019.8901042
   Google Scholar
• Spreicer, W., L. Ehrenstrasser, and H. Tellioğlu. 2012. “kommTUi: Designing communication for elderly.” In International Conference on Computers for Handicapped Persons, pp. 705–08. Springer, Berlin, Heidelberg. doi:10.1007/978-3-642-31522-0_105
   Google Scholar
• Steinke, F., N. Bading, T. Fritsch, and S. Simonsen. 2014. Factors influencing trust in ambient assisted living technology: A scenario-based analysis. Gerontechnology 12 (2):81–100. doi:10.4017/gt.2013.12.2.002.00.
   Google Scholar
• Such, M. J., R. Barbera, R. Poveda, J. Belda-Lois, A. Gómez, A. López, J. M. Cort, M. Sánchez, C. Berger-Vachon, and D. R. Mestre. 2006. The use of emotional design techniques in user oriented design of interfaces within a smart house environment: Case study. Technology and Disability 18 (4):201–06. doi:10.3233/tad-2006-18407.
   Google Scholar
• Sugahara, Y., N. Yonezawa, and K. Kosuge. 2010. “A novel stair-climbing wheelchair with transformable wheeled four-bar linkages.” In 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3333–39. Taipei, Taiwan: IEEE. doi:10.1109/IROS.2010.5648906
   Google Scholar
• Talbot, L. R., and C. Vincent. 2005. Help-at-home technology for elderly people from cctv surveillance to remote treatment through cctv in the home. Gerontologie Et Societe 113 (2):51–61. doi:10.3917/gs.113.0051.
   Google Scholar
• Teixeira, A., C. Pereira, M. O. E. Silva, N. Almeida, J. Pinto, and C. Teixeira.2012. “Health@ home scenario: Creating a new support system for home telerehabilitation.” In Proceedings of the 2nd International Living Usability Lab Workshop on AAL Latest Solutions, Trends and Applications, AAL, pp. 37–47. Arlington, Virginia.
   Google Scholar
• Thielke, S., M. Harniss, H. Thompson, S. Patel, G. Demiris, and K. Johnson. 2012. Maslow’s hierarchy of human needs and the adoption of health-related technologies for older adults. Ageing International 37 (4):470–88. doi:10.1007/s12126-011-9121-4.
   Google Scholar
• Tirado-Morueta, R., J. I. Aguaded-Gómez, and Á. Hernando-Gómez. 2018. The socio-demographic divide in Internet usage moderated by digital literacy support. Technology in Society 55:47–55. doi:10.1016/j.techsoc.2018.06.001.
   Web of Science ®Google Scholar
• Toms, G., F. Verity, and A. Orrell. 2019. Social care technologies for older people: Evidence for instigating a broader and more inclusive dialogue. Technology in Society 58:101111. doi:10.1016/j.techsoc.2019.01.004.
   Web of Science ®Google Scholar
• Torrey, C., S. R. Fussell, and S. B. Kiesler. 2005. “Appropriate accommodations: Speech technologies and the needs of older adults.” In AAAI Fall Symposium: Caring Machines, p. 99. Arlington, Virginia. FS-05-02 99-106
   Google Scholar
• Troncone, A., T. Amorese, M. Cuciniello, R. Saturno, L. Pugliese, G. Cordasco, C. Vogel, and A. Esposito. 2020. Advanced assistive technologies for elderly people: A psychological perspective on seniors’ needs and preferences (Part A). Acta Polytechnica Hungarica 17 (2):163–89. doi:10.12700/APH.17.2.2020.2.10.
   Web of Science ®Google Scholar
• Tsuji, T., O. M. Mozos, H. Chae, Y. Pyo, K. Kusaka, T. Hasegawa, K. Morooka, and R. Kurazume. 2015. An informationally structured room for robotic assistance. Sensors 15 (4):9438–65. doi:10.3390/s150409438.
   PubMed Web of Science ®Google Scholar
• Turner, A. M., K. Osterhage, J. Loughran, I. Painter, G. Demiris, A. L. Hartzler, and E. A. Phelan. 2018. Emergency information management needs and practices of older adults: A descriptive study. International Journal of Medical Informatics 111:149–58. doi:10.1016/j.ijmedinf.2017.12.001.
   PubMed Web of Science ®Google Scholar
• van Hoof, J., L. Schellen, V. Soebarto, J. K. W. Wong, and J. K. Kazak. 2017. Ten questions concerning thermal comfort and ageing. Building and Environment 120:123–33. doi:10.1016/j.buildenv.2017.05.008.
   Web of Science ®Google Scholar
• Vichitvanichphong, S., D. Kerr, A. Talaei-Khoei, and A. Ghapanchi. 2014. Assistive technologies for aged care: Supportive or empowering? Australasian Journal of Information Systems 18 (3):75–96. doi:10.3127/ajis.v18i3.880.
   Google Scholar
• Walsh, K., A. Callan, and S. Roberts. 2007. A social-audit of assistive technology for older adults in Ireland. Challenges for Assistive Technology: AAATE 07 20:208.
   Google Scholar
• Wang, A., L. Redington, V. Steinmetz, and D. Lindeman. 2011. The ADOPT model: Accelerating diffusion of proven technologies for older adults. Ageing International 36 (1):29–45. doi:10.1007/s12126-010-9072-1.
   Google Scholar
• Wang, Z., Z. Yang, and T. Dong. 2017. A review of wearable technologies for elderly care that can accurately track indoor position, recognize physical activities and monitor vital signs in real time. Sensors 17 (2):341. doi:10.3390/s17020341.
   PubMed Web of Science ®Google Scholar
• Waycott, J., F. Vetere, S. Pedell, L. Kulik, E. Ozanne, A. Gruner, and J. Downs. 2013. “Older adults as digital content producers.” In Proceedings of the SIGCHI conference on human factors in computing systems, pp. 39–48. Paris, France. doi:10.1145/2470654.2470662
   Google Scholar
• Wong, K. B., T. Zhang, and H. Aghajan. 2017. Monitoring health and wellness indicators for aging in place. Sensor networks for sustainable development, 303–40. NY, United States: Routledge. doi: 10.1201/b17124.
   Google Scholar
• Wu, Y., E. Stangl, O. Chipara, S. S. Hasan, S. DeVries, and J. Oleson. 2019. Efficacy and effectiveness of advanced hearing aid directional and noise reduction technologies for older adults with mild to moderate hearing loss. Ear and Hearing 40 (4):805–22. doi:10.1097/AUD.0000000000000672.
   PubMed Web of Science ®Google Scholar
• Xu, X., M. Yang, F. Jonathan, and Q. Zhu. 2019. “Health service support system for aging people in smart communities from the social support perspective.” Paper presented at the Proceedings of the International Conference on Electronic Business (ICEB), 349–57. Newcastle upon Tyne, UK.
   Google Scholar
• Zao, J. K., J. C. J . Hu, Y. Huang, S. Li, Z. Kuo, and C. Lin. 2006. “Kannon: Ubiquitous sensor/actuator technologies for elderly living and care a multidisciplinary effort in national chiao tung university, Taiwan.” Paper presented at the Conference Proceedings - IEEE International Conference on Systems, 4297–303. Taipei, Taiwan. doi:10.1109/ICSMC.2006.384809
   Google Scholar
• Zejda, D. 2010. “Deep design for ambient intelligence: Toward acceptable appliances for higher quality of life of the elderly.” Paper presented at the Proceedings - 2010 6th International Conference on Intelligent Environments, 277–82. Kuala Lumpur, Malaysia. doi:10.1109/IE.2010.57
   Google Scholar
• Zheng, R. Z., R. D. Hill, and M. K. Gardner. 2012. “Engaging older adults with modern technology: Internet use and information access needs,” 1–327. USA: IGI Global. doi: 10.4018/978-1-4666-1966-1.
   Google Scholar
• Zouganeli, E., F. D. Casagrande, T. Holthe, A. Lund, L. Halvorsrud, D. Karterud, and E. Forsberg. 2017. “Responsible development of self-learning assisted living technology for older adults with mild cognitive impairment or dementia.” Paper presented at the ICT4AWE 2017 - Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, 204–09. Porto, Portugal.
   Google Scholar