Advancing affordable IoT solutions in smart homes to enhance independence and autonomy of the elderly

Batyrzhan Akhmetzhanov, Bauyrzhan Akhmetzhanov, Suat Ozdemir, Nurkhat Zhakiyev

Article ID: 2899
Vol 8, Issue 3, 2024

VIEWS - 309 (Abstract) 160 (PDF)

Abstract


There is a growing trend among elderly people to live alone and this trend is expected to increase in the future. Social isolation and limited support can have a negative impact on the physical and mental well-being of older adults. The increasing life expectancy and expanding geriatric population necessitate the development of innovative solutions to support their health, independence, and autonomy. This article addresses the key challenges and issues confronting the elderly and analyzes various IoT technologies and solutions proposed to enhance their lives. Smart home technologies improve the quality of life and enable older adults to live independently in their own homes while their adult children are at work. This article presents a smart home model for the elderly in Kazakhstan, based on their needs, concerns, and financial capabilities. The proposed prototype will be developed using an accessible, open-source intelligent system that includes health monitoring, medication adherence monitoring, alerting family members in case of falls or deteriorating health indicators, and video surveillance. Another advantage of this system is the automation of processes such as automatic lighting control, voice command functionality, home security, and climate control. Preliminary testing of the hardware model shows promising results, with plans for continuous improvement and evaluation as it is deployed. Key criteria for its implementation include affordability, accessibility, and feasibility. Based on Kazakhstan’s unique socio-cultural and economic context, this paper proposes a sophisticated smart home model tailored to the specific needs and financial capabilities of elderly Kazakhs.


Keywords


smart home; social care smart system; home assistant for the elderly; intelligent control systems; IoT as a service

Full Text:

PDF


References


Abd-Elrahim AM, Abu-Assal A, Mohammad AAAA, et al. (2021). Design and Implementation of Raspberry Pi based Cell phone. 2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE). https://doi.org/10.1109/iccceee49695.2021.9429601

Akhmetzhanov BK, Gazizuly OA, Nurlan Z, et al. (2022). Integration of a Video Surveillance System into a Smart Home Using the Home Assistant Platform. 2022 International Conference on Smart Information Systems and Technologies (SIST). https://doi.org/10.1109/sist54437.2022.9945718

Alghamdi L, Akter M, Kropczynski J, et al. (2023). Co-designing Community-based Sharing of Smarthome Devices for the Purpose of Co-monitoring In-home Emergencies. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3581239

Ardelean MI, Munteanu RA, Crişan TE, et al. (2023). Low-cost smarthome automation system for elderly. 2023 10th International Conference on Modern Power Systems (MPS). https://doi.org/10.1109/mps58874.2023.10187565

Azibek B, Zhigerova S, Obaidat MS. (2020). Smart and Efficient Health Home System. Advances in Intelligent Systems and Computing, 677–691. https://doi.org/10.1007/978-981-15-0135-7_61

Bora P, Kanakaraja P, Chiranjeevi B, Jyothi Sri Sai M, et al. (2021). Smart real time health monitoring system using Arduino and Raspberry Pi. Materials Today: Proceedings, 46, 3855–3859. https://doi.org/10.1016/j.matpr.2021.02.290

Bureau of National statistics. (2023). Data from Agency for strategic planning and reforms of the Republic of Kazakhstan, Bureau of National statistics. Available online: https://stat.gov.kz/ru/industries/social-statistics/demography/ (Accessed on 22 June 2023).

Khattar S, Sachdeva A, Kumar R, Gupta R. (2019). Smart Home with Virtual Assistant Using Raspberry Pi. 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence). https://doi.org/10.1109/confluence.2019.8776918

Kok I, Simsek MU, Ozdemir S. (2017). A deep learning model for air quality prediction in smart cities. 2017 IEEE International Conference on Big Data (Big Data). https://doi.org/10.1109/bigdata.2017.8258144

Kulurkar P, kumar Dixit C, Bharathi VC, et al. (2023). AI based elderly fall prediction system using wearable sensors: A smart home-care technology with IOT. Measurement: Sensors, 25, 100614. https://doi.org/10.1016/j.measen.2022.100614

Ismail Y, Hammad M, El-Medany W. (2018). Homeland Security Video Surveillance System for Smart Cities. 2018 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT). https://doi.org/10.1109/3ict.2018.8855732

Rezende DA. (2023). Strategic digital city: Concept, model, and research cases. Journal of Infrastructure, Policy and Development, 7(2), 2177. https://doi.org/10.24294/jipd.v7i2.217

Sooraj SK, Sundaravel E, Shreesh B, et al. (2020). IoT Smart Home Assistant for Physically Challenged and Elderly People. 2020 International Conference on Smart Electronics and Communication (ICOSEC). https://doi.org/10.1109/icosec49089.2020.9215389

Visutsak P, Daoudi M. (2017). The smart home for the elderly: Perceptions, technologies and psychological accessibilities: The requirements analysis for the elderly in Thailand. 2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT). https://doi.org/10.1109/icat.2017.8171625

Wynn M, Hosseini SZ, Parpanchi SM. (2023). Housing development and the smart city: A case study of Tehran, Iran. Journal of Infrastructure, Policy and Development, 7(2), 2070. https://doi.org/10.24294/jipd.v7i2.2070

Zhakiyev N, Amanbek Y, Kalakova A, Yedilkhan D. (2023). Home Energy Management System to Reduce Unconscious Electricity Consumption. IoT as a Service, 3–11. https://doi.org/10.1007/978-3-031-37139-4_1




DOI: https://doi.org/10.24294/jipd.v8i3.2899

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Batyrzhan Akhmetzhanov, Bauyrzhan Akhmetzhanov, Suat Ozdemir, Nurkhat Zhakiyev

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.