Personal Locator Band with Fall Detection

Falls are among the leading causes of severe injury and fatality in elderly individuals and patients with mobility impairments, particularly when immediate assistance is unavailable. This paper presents the design and implementation of a compact, wearable fall detection system that enables rapid identification of fall events and timely emergency alerts. The proposed system integrates inertial sensors to continuously monitor human motion patterns and distinguish accidental falls from normal daily activities. A threshold-based detection approach is employed to analyze sudden changes in acceleration and orientation, ensuring low computational complexity and real- time performance. Upon detecting a fall, the system triggers an alert mechanism to notify caregivers or emergency contacts, reducing response time and improving user safety. Experimental evaluation demonstrates reliable fall detection accuracy under controlled conditions while maintaining low power consumption and portability. The proposed solution offers a cost-effective and practical approach for personal safety monitoring, with potential applications in elderly care and assisted living environments.