THE IMPACT OF SMART HOMES ON THE LIVES OF PEOPLE WITH PHYSICAL DISABILITIES
This article explores the impact of smart home technologies on the lives of individuals with physical disabilities, focusing on the ways these innovations enhance independence, safety, and social interaction. The article outlines several key advantages of smart homes, such as increased autonomy through voice-activated controls, improved safety via sensors and emergency alerts, and reduced social isolation through communication technologies. Additionally, the article highlights the benefits of automation in daily tasks and health monitoring systems that contribute to better health management[3].On the other hand, the article also addresses the challenges faced by disabled users, including high initial costs, complexity in system setup and use, and the risks of over-reliance on technology. Concerns over privacy and security are also discussed, along with the need for ongoing maintenance and technical support. To overcome these challenges, the article suggests solutions like making smart home systems more affordable and user-friendly, implementing robust backup systems, and strengthening privacy protections.The article argues that while smart homes offer significant benefits, further innovation and support—such as government incentives, improved customer service, and the integration of AI—are necessary to ensure these technologies are accessible and reliable for individuals with physical disabilities, ultimately enhancing their quality of life.Smart home technologies have significantly impacted the lives of physically disabled people by providing enhanced independence, safety, and social interaction. However, despite the many benefits, there are also challenges and disadvantages associated with their use. This section will explore the advantages and disadvantages of smart homes for individuals with physical disabilities and offer suggestions for improvements to maximize the benefits while minimizing the downsides[2,3].
Institutions
- Azerbaijan State Oil and Industry University (AZ)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-11-18
- DOI
- https://doi.org/10.5281/zenodo.14181479
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00