Clarence Pedralvez | Elijah Leigh Tan | Kylie-nicole Daigdigan | Ralph Ashlee Binay | Mhiel Alejandro | Matt Rafael Tecson | Jerkin Jexel Pedrosa | Joseph De Mata |
April 30, 2026
This study focused on the development and assessment of an Arduino-based wristband emergency signaling system designed specifically to support elderly individuals and persons with disabilities who live alone or independently. The project aimed to address risks associated with social isolation, heightened vulnerability, and delayed access to emergency services by creating a wearable device equipped with pulse detection, fall detection, GPS location tracking, and manual alert activation. The system processes physiological and motion data and transmits emergency alerts through email to designated recipients. Utilizing a developmental research design, the study involved the construction of a functional prototype and performance evaluation under controlled conditions. Findings demonstrated acceptable pulse detection accuracy, high fall detection reliability, precise GPS tracking, and timely alert transmission. The results indicate that the device is feasible, functional, and capable of supporting rapid emergency response for at-risk populations.