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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 13, ISSUE 3, MARCH 2026

Standalone Wearable Fall Detection System Using ESP32 and GSM-Based Emergency Alerting

Darshan K, Mrs. A. Sathiya Priya

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Abstract: This is a fully standalone wearable fall detection and emergency alert system designed for elderly individuals. The system integrates the MPU-6050 inertial measurement unit (IMU) with an ESP32 microcontroller to detect falls using a dual-stage impact and orientation-based threshold algorithm. Unlike cloud-dependent systems, the proposed design performs all signal processing locally and transmits emergency alerts directly through a GSM module without requiring internet connectivity. A multi-stage validation mechanism combining Signal Magnitude Vector (SMV), posture angle deviation, and post-impact persistence minimizes false positives during daily activities. Upon confirmed fall detection, an SMS alert is immediately transmitted to predefined caregiver numbers using the SIM800L GSM module [9]. Experimental evaluation demonstrates 96.8% sensitivity, 95.1% specificity, and an average alert latency of 2.4 seconds. The system operates at 145 mW, enabling approximately 22 hours of continuous monitoring on a 2000 mAh Li-ion battery.

Keywords: Fall Detection; Wearable Device; ESP32; MPU-6050; GSM Alerting; Embedded Systems; Elder Safety

How to Cite:

[1] Darshan K, Mrs. A. Sathiya Priya, “Standalone Wearable Fall Detection System Using ESP32 and GSM-Based Emergency Alerting,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.13338

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