Intelligent connected vehicle health monitoring system based on pulse diagnosis technology

Zhang Rui; Lin Yao; Zhang Qinchuan; Wang Zixin; Ma Shuangshuang; Hua Kai

doi:10.1117/12.3024061

14 February 2024 Intelligent connected vehicle health monitoring system based on pulse diagnosis technology

Zhang Rui, Lin Yao, Zhang Qinchuan, Wang Zixin, Ma Shuangshuang, Hua Kai

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130180V (2024) https://doi.org/10.1117/12.3024061
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

In 2022, the National Bureau of Statistics reported a distressing toll of 61,703 lives lost and 250,723 injuries due to traffic accidents nationwide. This equates to a tragic average of one life lost every seven minutes, propelling our country to the top of global traffic accident statistics. Beyond the well-known factors contributing to accidents like fatigue and reckless behavior, there has been a concerning surge in accidents linked to underlying health conditions, notably heart disease and high blood pressure from poor health. In response, we've developed an innovative in-vehicle human health monitoring system. This product seamlessly integrates a pulse diagnosis module into the steering wheel, allowing real-time monitoring of pulse waveforms and critical health data, a pivotal component of our design. Our system also utilizes a trained opensource model to develop modules for monitoring and providing reminders for various driver behaviors, including closed-eye detection and phone call management. By meticulously analyzing the connections between the driver's heart condition, pulse diagnostics, and vehicle speed, our product generates personalized driving speed and timing recommendations that prioritize the driver's well-being. Furthermore, in emergencies, our system promptly notifies the driver's family of any detected physical abnormalities or the driver's whereabouts, instilling peace of mind during journeys. In essence, our product proactively mitigates the risks associated with traffic accidents stemming from driver fatigue, reckless driving practices, or irregular pulse patterns. It promotes safer driving habits and contributes to the early detection of certain health conditions, fostering safer roads and improved health outcomes.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhang Rui, Lin Yao, Zhang Qinchuan, Wang Zixin, Ma Shuangshuang, and Hua Kai "Intelligent connected vehicle health monitoring system based on pulse diagnosis technology", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130180V (14 February 2024); https://doi.org/10.1117/12.3024061

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KEYWORDS

Heart

Pulse signals

Sensors

Video processing

Video

Safety

Detection and tracking algorithms

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