Advanced Driver Health Monitoring System with Real-Time Vital Metrics and Autonomous Vehicle Safety Responses

Abstract

This paper presents an advanced driver health monitoring system designed to ensure the safety of vehicle operators by continuously tracking vital health metrics, including heart rate, blood pressure (both systolic and diastolic), blood oxygen levels, and glucose levels. The system employs an array of sensors placed within the vehicle to collect health data at five-minute intervals over a 26-week period. The collected data is processed and averaged over short-term (three-day) and long-term (four-day) intervals to create a robust dataset for monitoring and prediction. The system features a two-level alert mechanism: an internal alert when the driver’s health data deviates from their baseline values, and an external alert when these deviations exceed 10% of established medical thresholds. At the second alert level, the system initiates the vehicle's autonomous driving mode and sends notifications to emergency contacts and medical services. The health metrics are compared against standard thresholds for heart rate (60–100 bpm), blood pressure (120/80 mmHg), blood oxygen saturation (95–100%), and glucose levels (70–99 mg/dL). Numerical analysis shows that the average driver metrics fall within acceptable medical ranges, allowing for accurate prediction and early detection of potential health issues. This system not only ensures real-time health monitoring but also integrates vehicle automation, communication with emergency services, and early intervention mechanisms, making it a comprehensive solution for enhancing driver safety in modern vehicles. The system's predictive capabilities and data-driven approach offer a promising tool for preventing health-related accidents on the road.