# AI-Driven Smart Cockpit: Monitoring of Sudden Illnesses, Health Risk Intervention, and Future Prospects

## TL;DR

This paper explores AI-powered smart car cabins that monitor health and intervene in emergencies, aiming to improve driver safety and health outcomes.

## Contribution

The paper introduces a novel AI-driven system for real-time health monitoring and intervention in vehicles using multimodal biosignal data and machine learning.

## Key findings

- Multimodal biosignal acquisition enables real-time monitoring of heart rate and blood pressure in vehicles.
- AI platforms using CNN and LSTM models can predict health risks and initiate interventions like emergency parking.
- Challenges include sensor accuracy, model interpretability, data privacy, and legal liability.

## Abstract

Intelligent driving cabins operated by artificial intelligence technology are evolving into the third living space. They aim to integrate perception, analysis, decision making, and intervention. By using multimodal biosignal acquisition technologies (flexible sensors and non-contact sensing), it is possible to monitor the physiological indicators of heart rate and blood pressure in real time. Leveraging the benefits of domain controllers in the vehicle and edge computing helps the AI platform reduce data latency and enhance real-time processing capabilities, as well as integrate the cabin’s internal and external data through machine learning. Its aim is to build tailored health baselines and high-precision risk prediction models (e.g., CNN, LSTM). This system can initiate multi-level interventions such as adjustments to the environment, health recommendations, and ADAS-assisted emergency parking with telemedicine help. Current issues consist of sensor precision, AI model interpretation, security of data privacy, and whom to attribute legal liability to. Future development will mainly focus on cognitive digital twin construction, L4/L5 autonomous driving integration, new biomedical sensor applications, and smart city medical ecosystems.