ENHANCING INDEPENDENT SENIOR LIVING THROUGH SMART HOME TECHNOLOGIES
<p>ABSTRACT</p> <p><br>The population of elderly folks is ballooning worldwide as people live longer. But getting older often<br>means declining health and trouble living solo. Smart home tech could keep an eye on old folks and get<br>help quickly when needed so they can stay independent. This paper looks at a system combining wireless<br>sensors, video watches, automation, resident monitoring, emergency detection, and remote access. Sensors<br>track health signs, activities, appliance use. Video analytics spot odd stuff like falls. Sensor fusion and<br>machine learning find normal patterns so wonks can see unhealthy changes and send alerts. Multi-channel<br>alerts reach caregivers and emergency folks. A LabVIEW can integrate devices and enables local and<br>remote oversight and can control and handle emergency responses. Benefits seem to be early illness clues,<br>quick help, less burden on caregivers, and optimized home settings. But will old folks use all this tech? Can<br>we prove it really helps folks live longer and better? More research on maximizing reliability and<br>evaluating real-world impacts is needed. But designed thoughtfully, smart homes could may profoundly<br>improve the aging experience.</p> <p><br>KEYWORDS</p> <p><br>Smart homes, Elderly care, Home automation, Wireless sensor networks, Activity monitoring, Lab VIEW,<br>Zigbee, Ambient intelligence, Independent living, Emergency response, Physiological monitoring,<br>Reminder systems, Access control, Smoke detection, Intrusion detection, GUI, Cloudcomputing</p> <p>PDF LINK: https://aircconline.com/iju/V14N4/14423iju01.pdf</p> <p>VOLUME LINK: https://www.airccse.org/journal/iju/vol14.html</p> <p>MORE DETAILS: https://www.airccse.org/journal/iju/index.html</p>
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-18
- DOI
- https://doi.org/10.5121/iju.2023.14401
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00