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AI-Driven Wearables for Driver Health and Safety

  • Sonia Díaz-Santos,
  • Pino Caballero-Gil,
  • Cándido Caballero-Gil

摘要

This preliminary research presents a novel driver health monitoring system that aims to prevent accidents by utilizing wearable devices and artificial intelligence. The system incorporates advanced sensors in smartwatches to continuously monitor vital signs. It identifies any abnormalities that could potentially compromise driving safety. Real-time analysis of these metrics by artificial intelligence algorithms provides alerts and actionable insights. The system alerts drivers to take necessary precautions or seek medical advice if they have hypertension or irregular heartbeats. In addition, it monitors driver behavior to identify signs of fatigue and stress and provides suggestions to reduce risks. By offering timely recommendations, the system helps to mitigate immediate dangers and supports long-term health management. This preliminary system has the potential to enhance road safety by addressing health-related factors that contribute to accidents. This research contributes to ambient intelligence by integrating wearable health monitoring with artificial intelligence, offering a comprehensive solution for safer transportation. The integration of these technologies paves the way for smarter, health-conscious driving environments, promoting overall well-being and reducing accident rates.