A New Paradigm in Planning Gerontechnology: Sensorosoft Response Integration System

Öz

The advancement of technology is in the cycle of eras in the transition from Industry 4 to Industry 5. Groups forcing to adapt to advances in technology are the rapidly aging general world population. The difficulties experienced in the acceptance of technology by the older adult have not been solved as easily as the rapid progress of technology. The older adult, who have difficulty in keeping up with the contemporary process, is tried to be supported with gerontechnology and tele-medicine. In the literature, there is not enough have focus on technology acceptance of the older adult in the technologies developed for the older adults. Another overlooked issue is the possible ethical violations. It is thought that ethical violations may pose vital risks for the elderly when the transition to Industry 5 is completed. This study, aimed to present the cycle from the production stage to the end-user with a general point of view. This perspective will create a new classification that will facilitate the adoption of technology without creating ethical violations in the use of gerontechnological products. The working mechanism of gerontechnological products has been likened to the sensory-motor integration system of the human central nervous system. In the sensory-motor integration system, receptors enable us to perceive stimuli from the environment. The connection between the receptors and the central nervous system is provided by the descending and ascending nerve pathways or hormones. The motor task provides by the organs and the muscular system. Communication of Gerontechnological products with the environment is provided by sensor technology. Decision-making or connection to cloud systems is provided by wired-wireless connections and decision-making is provided by software technology. We can call this gerontechnological system a sensory-soft response integration system. As a result, innovation in perspective will dominate every view of gerontechnology. It will enable to determine the most suitable technological system for the older adult in Industry 4.0 and 5.0. In the new gerontechnological device design and production process, the most suitable sensor, transmission system and processing technological material will be selected for the needs of the older adult.

Anahtar Kelimeler

• Gerontechnology
• Technology Adoption by Older Adult
• Quality of Life of Older Adult
• Industry 4.0
• Sensorimotor Integration (SMI)

Geronteknolojiyi Planlamada Yeni Bir Paradigma: Sensörosoft Tepki Entegrasyon Sistemi

Öz

Teknolojinin ilerlemesi Endüstri 4.0’dan Endüstri 5.0’a geçiş sürecinde çağ döngüsü içerisindedir. Teknolojinin ilerlemesine uyum sağlamakta zorlanan gruplar, hızla yaşlanmakta olan genel dünya nüfusudur. Yaşlıların teknolojiyi kabulünde yaşanan zorluklar teknolojinin hızlı ilerlemesi kadar kolay çözülememiştir. Çağsal sürece ayak uydurmakta zorlanan yaşlılar, geronteknoloji ve tele-tıp ile desteklenmeye çalışılmaktadır. Literatürde yaşlılar için geliştirilen teknolojilerde yaşlının teknoloji kabulüne yeterince odaklanılmamıştır. Bir diğer gözden kaçan konuysa yaşanabilecek etik ilke ihlalleridir. Etik ihlaller, Endüstri 5.0’a geçiş tamamlandığında yaşlılar için hayati riskler doğurabileceği düşünülmektedir. Bu çalışma teknolojinin üretim aşamasından, son kullanıcıya kadar olan döngüyü genel bir bakış açısıyla sunmayı amaçlamıştır. Bu bakış açısı, geronteknolojik ürünlerin kullanımında etik ihlal oluşturmadan ve teknoloji kabulünü kolaylaştıracak yeni bir sınıflandırma oluşturacaktır. Geronteknolojik ürünlerin çalışma mekanizması, insan merkezi sinir siteminin duyu-motor entegrasyon sistemine benzetilmiştir. Duyu-motor entegrasyon sisteminde çevreden gelen uyarıları algılamamızı reseptörler; Reseptörler ile merkezi sinir sistemi arası bağlantı inen-çıkan sinir yolları veya hormonlar tarafından sağlanır. Motor göreviyse organlar ve kas sistemi sağlar. Geronteknolojik ürünlerin çevre ile iletişim kurması sensör teknolojisiyle; karar verme veya bulut sistemlerle bağlantısı kablolu-kablosuz bağlantılarla; karar vermesiyse yazılım teknolojisiyle sağlanır. Bu geronteknolojik sisteme sensörosoft tepki entegrasyon sistemi diyebiliriz. Sonuç olarak bakış açısındaki yenilik gerontoteknolojinin her aşamasına hâkim olacaktır. Endüstri 4.0 ve 5.0’da yaşlıya en uygun teknolojik sistemi belirlemeyi sağlayacaktır. Yeni geronteknolojk cihaz tasarım ve üretim sürecinde yaşlının ihtiyacına en uygun sensör, iletim sistemi ve işleyici teknolojik materyal seçilebilecektir.

Anahtar Kelimeler

• Geronteknoloji
• Endüstri 4.0
• Yaşlılarda Teknolojinin Kabulü
• Yaşlılarda Yaşam Kalitesi
• Duyu Motor Entegrasyonu

Kaynakça

1. Abdi, J., Al-Hindawi, A., Ng, T., & Vizcaychipi, M. P. (2018). Scoping review on the use of socially assistive robot technology in elderly care. BMJ open, 8(2), e018815.
2. Al-Sarawi, S., Anbar, M., Alieyan, K., & Alzubaidi, M. (2017, May). Internet of Things (IoT) communication protocols. In 2017 8th International conference on information technology (ICIT) (pp. 685-690). IEEE.
3. Al-Shaqi, R., Mourshed, M., & Rezgui, Y. (2016). Progress in ambient assisted systems for independent living by the elderly. SpringerPlus, 5(1), 1-20.
4. Anastasi, G., Conti, M., Di Francesco, M., & Passarella, A. (2009). Energy conservation in wireless sensor networks: A survey. Ad hoc networks, 7(3), 537-568.
5. Asadullah, M., Ullah, K. (2017, April). Smart home automation system using Bluetooth technology. In 2017 International Conference on Innovations in Electrical Engineering and Computational Technologies (ICIEECT) (pp. 1-6). IEEE.
6. Avanzino, L., Tinazzi, M., Ionta, S., & Fiorio, M. (2015). Sensory-motor integration in focal dystonia. Neuropsychologia, 79, 288-300.
7. Awad, E., Dsouza, S., Kim, R., Schulz, J., Henrich, J., Shariff, A., … Rahwan, I. (2018). The Moral Machine experiment. Nature. https://doi.org/10.1038/s41586-018-0637-6 Bluetooth and internet connectivity. In The 18th IEEE International Symposium on Consumer
8. Bouma, H., Fozard, J.L., Bouwhuıs, D.G., & Taipale, V.T. (2007). Gerontechnology in perspective. Gerontechnology, 6 (4) 190-216.

9. Chen, K. Y., Janz, K. F., Zhu, W., & Brychta, R. J. (2012). Re-defining the roles of sensors in objective physical activity monitoring. Medicine and science in sports and exercise, 44(1 Suppl 1), S13.
10. Chen, L. K. (2020). Gerontechnology and artificial intelligence: Better care for older people. Archives of gerontology and geriatrics, 91, 104252.
11. Chen, L., Hoey, J., Nugent, C. D., Cook, D. J., & Yu, Z. (2012). Sensor-based activity recognition. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42(6), 790-808.
12. Choudhury, B., Choudhury, T. S., Pramanik, A., Arif, W., Mehedi, J. (2015, March). Design and implementation of an SMS based home security system. In 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT) (pp. 1-7). IEEE.
13. Dagtas, S., Pekhteryev, G., Sahinoglu, Z. (2007, May). Multi-stage real time health monitoring via ZigBee in smart homes. In 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07) (Vol. 2, pp. 782-786). IEEE.
14. DESA Department of Economic and Social Affairs 12.07.2021 tarihinde alındı. https://population.un.org/wpp/Download/Probabilistic/Population/
15. Draper, H., & Sorell, T. O. M. (2013). Telecare, remote monitoring and care. Bioethics, 27(7), 365-372.
16. Gitlin, L. N., Winter, L., Dennis, M. P., Corcoran, M., Schinfeld, S., & Hauck, W. W. (2006). A randomized trial of a multicomponent home intervention to reduce functional difficulties in older adults. Journal of the American Geriatrics Society, 54(5), 809-816.
17. Rafik Goubran & Frank Knoefel. 11 Kasım 2021 tarihinde http://www.tafeta.ca/home2.html adresinden erişildi
18. Linus Torvalds & Junio Hamano. 13 Kasım 2021 tarihinde https://github.com/ adresinden erişildi
19. Bailey, S. 12 Kasım 2021 tarihinde https://www.todaysgeriatricmedicine.com/news/ex_091415.shtml adresinden erişildi
20. Huang, H., Xiao, S., Meng, X., Xiong, Y. (2010, April). A remote home security system based on wireless sensor network and GSM technology. In 2010 Second International Conference on Networks Security, Wireless Communications and Trusted Computing (Vol. 1, pp. 535-538). IEEE.
21. Khanuja, K., Joki, J., Bachmann, G., & Cuccurullo, S. (2018). Gait and balance in the aging population: Fall prevention using innovation and technology. Maturitas, 110, 51-56. Krishna, Y. B., Nagendram, S. (2012). Zigbee based voice control system for smart home.
22. Kumar, S., & Lee, S. R. (2014, June). Android based smart home system with control via Bluetooth and internet connectivity. In The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014) (pp. 1-2). IEEE.
23. Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, 6, 1-10.
24. Luciano, A., Pascale, F., Polverino, F., & Pooley, A. (2020). Measuring age-friendly housing: A framework. Sustainability, 12(3), 848.
25. Malhi, K., Mukhopadhyay, S. C., Schnepper, J., Haefke, M., Ewald, H. (2010). A zigbee-based wearable physiological parameters monitoring system. IEEE sensors journal, 12(3), 423-430.
26. McGrath, M. J., & Scanaill, C. N. (2013). Sensing and sensor fundamentals. In Sensor Technologies (pp. 15-50). Apress, Berkeley, CA.
27. Microsoft. 9 Aralık 2021 tarihinde https://azure.microsoft.com/tr-tr/overview/iot/industry/healthcare/#overview sitesinden alınmıştır.
28. Naresh, D., Chakradhar, B., Krishnaveni, S. (2013). Bluetooth based home automation and security system using ARM9. International Journal of Engineering Trends and Technology (IJETT), 4(9), 4051-4058.
29. Nikou, S., Agahari, W., Keijzer-Broers, W., & de Reuver, M. (2020). Digital healthcare technology adoption by elderly people: A capability approach model. Telematics and Informatics, 53, 101315.
30. Oddsson, L. I. E., Bisson, T., Cohen, H. S., Jacobs, L., Khoshnoodi, M., Kung, D., ... & Koehler-McNicholas, S. R. (2020). The effects of a wearable sensory prosthesis on gait and balance function after 10 Weeks of use in persons with peripheral neuropathy and high fall risk–the walk2wellness trial. Frontiers in aging neuroscience, 12, 409.
31. Pandya, B., Mehta, M., Jain, N., & Kadam, S. (2016). Android Based Home Automation System Using Bluetooth & Voice Command–Implementation. International Research Journal of Engineering and Technology (IRJET) e-ISSN, 2395-0056.
32. Pomponio, L., Le Goc, M., Anfosso, A., & Pascual, E. Modeling Resident’s Behavior at Different Abstraction Levels: An Application to GerHome.
33. Potts, J., Sukittanon, S. (2012, March). Exploiting Bluetooth on Android mobile devices for home security application. In 2012 Proceedings of IEEE Southeastcon (pp. 1-4). IEEE.
34. Radder, B., Prange-Lasonder, G. B., Kottink, A. I., Holmberg, J., Sletta, K., Van Dijk, M., ... & Rietman, J. S. (2018). The effect of a wearable soft-robotic glove on motor function and functional performance of older adults. Assistive technology.
35. Renaud, K., & Van Biljon, J. (2008, October). Predicting technology acceptance and adoption by the elderly: a qualitative study. In Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology (pp. 210-219).
36. Rucco, R., Sorriso, A., Liparoti, M., Ferraioli, G., Sorrentino, P., Ambrosanio, M., & Baselice, F. (2018). Type and location of wearable sensors for monitoring falls during static and dynamic tasks in healthy elderly: a review. Sensors, 18(5), 1613.
37. Salih, A., & Abraham, A. (2013). A review of ambient intelligence assisted healthcare monitoring. International Journal of Computer Information Systems and Industrial Management (IJCISIM), 5, 741-750.
38. Stavropoulos, T. G., Papastergiou, A., Mpaltadoros, L., Nikolopoulos, S., & Kompatsiaris, I. (2020). IoT wearable sensors and devices in elderly care: a literature review. Sensors, 20(10), 2826.
39. Süzen, A. A. (2020). A Risk-Assessment of Cyber Attacks and Defense Strategies in Industry 4.0 Ecosystem. International Journal of Computer Network & Information Security, 12(1).Technology (IRJET), 3(04), 1337-1342.
40. Teymourzadeh, R., Ahmed, S. A., Chan, K. W., Hoong, M. V. (2013, December). Smart gsm based home automation system. In 2013 IEEE Conference on Systems, Process & Control (ICSPC) (pp. 306-309). IEEE.
41. Touati F, Tabish R (2013) U-healthcare system: state-of-the-art review and challenges. J Med Syst 37:9949
42. Tun, S. Y. Y., Madanian, S., & Mirza, F. (2021). Internet of things (IoT) applications for elderly care: a reflective review. Aging clinical and experimental research, 33(4), 855-867.
43. World Health Organization (WHO). (2010). Telemedicine: opportunities and developments in member states. Report on the second global survey on eHealth. World Health Organization.
44. Yao, W., Chu, C. H., Li, Z. (2011). Leveraging complex event processing for smart hospitals using RFID. Journal of Network and Computer Applications, 34(3), 799-810.