Fall Detection System Using IoT


Fall Detection System Using IoT

Nnamudi Marcellinus Chukwudi, Edith Omede, Abel Efe Edje and Debekeme Irene Alamarefa

Nnamudi Marcellinus Chukwudi, Edith Omede, Abel Efe Edje and Debekeme Irene Alamarefa "Fall Detection System Using IoT" Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Volume-11 | Issue-6 , December 2024, URL: http://www.ijtrd.com/papers/IJTRD28543.pdf

Falling is among the major causes of medical problems that are faced by disabled people. They tend to injure themselves from falling when they are alone. When a falling event occurs, medical attention needs to be provided immediately to reduce the risk of severe injury to the disabled which may result in more injuries or even death. The current commercialized device is expensive and does not have a call-to-action button that sends a notification when the user feels uncomfortable and it also lacks accessibility through a web app. This research proposes an IoT-based fall detection system that has a high efficiency in alerting the surrounding with an alarm to notify the caregiver through an email and an SMS of a fall event. It affords the user the flexibility of requesting the attention of the caregiver when they feel uncomfortable. Additionally, a touch sensor, gyroscope, GPS module, were integrated into the nodeMCU which is an open-source firmware, and a sim module, and is fused into the Arduino UNO microcontroller.

Open Source, SMS, GPS, nodeMCU, Sensor.


Volume-11 | Issue-6 , December 2024

2394-9333

IJTRD28543
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