International Journal of Science, Engineering and TechnologyAuthors: Swati Chaitandas Hadke, Ashish Pralhad Katore
Abstract: Falls among the elderly continue to be a big problem since they frequently result in fatalities, serious injuries, and medical consequences. In order to improve real-time monitoring reaction efficiency, this study proposes an Internet of Things-based senior fall detection and alarm system. In order to ensure precise identification, the system uses accelerometer and gyroscope sensors to detect falls using threshold-based algorithms. An emergency button that lets users manually accept or reject notifications helps reduce false alarms. The technology employs Wi-Fi connectivity to quickly send warnings to connected devices in the event of an emergency, warning caregivers or other people in the vicinity. By providing a reliable and timely fall detection and emergency aid solution, this concept increases the efficacy and dependability of elder safety monitoring.
DOI: http://doi.org/10.5281/zenodo.20175491
