Authors: S. M. Kayser Mehbub Siam, Khadiza Islam Sumaiya, Md Rakib Al-Amin, Tamim Hasan Turjo, Ahsanul Islam, A.H.M.A. Rahim, Md Rakibul Hasan

Published on: March 28, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2403.19085

Summary

• What is new: A novel automatic detection and notification system for motorbike accidents that integrates a detection system within the helmet, combined with a physiological signal monitoring system.
• Why this is important: The rising number of motorbike accidents often resulting in serious injuries or deaths due to delayed or inadequate medical attention.
• What the research proposes: A comprehensive system involving a detection system equipped with a microcontroller, accelerometer, GPS, GSM, and Wi-Fi modules, along with a physiological signal monitoring system that captures pulse rate and SpO2 saturation.
• Results: The system demonstrably increases the accuracy of detecting motorbike accidents and accelerates the process of alerting emergency contacts, potentially saving lives.

Technical Details

Technological frameworks used: nan

Models used: nan

Data used: Accelerometer readings for accident detection, pulse rate, and SpO2 saturation data for physiological monitoring.

Potential Impact

This research could disrupt the motorcycle safety equipment market and could benefit companies specializing in emergency response services, health technology, and automotive safety.

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