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New Approach for Fall Detection System Using Embedded Technology
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DOI：10.1109/ines49302.2020.9147170.png)
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Abstract
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Elderly Fall accidents are one of the main causes of deaths due to fractures caused by collision with the ground or hard obstacles. This research paper aims to develop an intelligent fall detection system to detect the user fall and alarm the caretaker for a fast response. The early response of the caretaker to the alert will keep a high chance to save the life of the victim. In this paper, wearable low-cost fall detection and alarming system for the elderly has been proposed. a novel approach has been used to reduce the false-positive fall alarm. The user motion tracked using a sophisticated orientation detection module to detect user orientation in different output forms. In case of any abnormal orientation data values of the user, the system will send an alarm message via Wi-Fi and GSM to the caretaker. The system design considers a simple and low-cost design with acceptable power consumption rate. The system consists of a Wi-Fi-based microcontroller, and two orientation detection modules, and a GSM module. The system is designed for the user to wear in the waistline by installing it with the waist belt. The system used a rechargeable pin-type lithium-ion battery as a power source.
Keywords:
Fall Detection
Wearable Device
Orientation Detection
Internet of Things
Embedded System
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