P.A.T.H.: In-Vehicle Human Health Monitoring System

02 · Project Overview

P.A.T.H. is an innovative health management solution designed for B2B customers such as passenger transportation companies, freight operators, logistics enterprises, and commercial fleet managers.

Commercial drivers often work for long periods in enclosed vehicle environments. Irregular schedules, prolonged sitting, fatigue, psychological pressure, and changing environmental conditions may affect their health and driving performance. Traditional health examinations provide only periodic results and cannot continuously reflect a driver’s physical condition during daily operations.

P.A.T.H. addresses this limitation by bringing physiological monitoring and health assessment into the vehicle. The system continuously collects essential driver health and environmental data without requiring the driver to wear additional monitoring equipment.

In addition to monitoring immediate physiological indicators, P.A.T.H. uses intelligent algorithms to analyze long-term fatigue and psychological conditions. The system transforms fragmented monitoring data into continuous health records and risk assessments.

The project aims to improve transportation safety, reduce driver health risks, and help enterprises establish a full-cycle health management strategy covering real-time monitoring, long-term tracking, risk identification, and health intervention.

03 · Product and Monitoring Capabilities

The core of the project is P.A.T.H., a highly integrated and user-friendly in-vehicle health monitoring product. The system combines multiple sensing modules, embedded data acquisition, intelligent analysis algorithms, and a health management platform.

P.A.T.H. monitors basic physiological and environmental indicators, including electrocardiogram signals, carbon dioxide concentration, and temperature. The sensing system is integrated into the vehicle environment to reduce interference with normal driving activities.

The system uses the collected data to evaluate the driver’s immediate physical condition. It can also combine data from multiple time periods to analyze fatigue trends, psychological pressure, and potential long-term health risks.

By integrating short-term monitoring with longitudinal analysis, P.A.T.H. provides more than a single health measurement. It creates a continuous understanding of the driver’s condition and supports early identification of abnormalities.

During prototype validation, the system achieved approximately 97% ECG signal fidelity, demonstrating the feasibility of collecting reliable physiological signals through a non-wearable in-vehicle solution.

04 · Operating Model

P.A.T.H. establishes an integrated workflow covering health data collection, transmission, storage, analysis, assessment, and enterprise management.

The sensing devices first collect physiological and environmental data inside the vehicle. The data are then transmitted to the P.A.T.H. platform for centralized storage and analysis.

The platform integrates information that would otherwise be fragmented across different devices, platforms, and management systems. Through a unified data structure, enterprises can view immediate monitoring results, historical trends, risk assessments, and driver health records in one system.

P.A.T.H. provides health monitoring across multiple dimensions: from immediate detection to long-term tracking, and from physiological indicators to fatigue and psychological conditions.

When the system identifies an abnormal condition or an elevated health risk, it can provide the enterprise with relevant information to support safety warnings, work scheduling, rest arrangements, health interventions, or further medical examination.

This operating model enables transportation companies to move from passive management after an incident toward continuous, data-driven health and safety management.

05 · Integrated Data Platform

Health data in commercial transportation may be distributed across physical examination records, wearable devices, vehicle systems, enterprise management platforms, and manual records. This fragmentation makes it difficult to form a complete understanding of driver health.

Through the integrated P.A.T.H. platform, the project unifies the collection, storage, processing, and analysis of health-related data. The platform connects real-time monitoring data with long-term driver records and reduces information separation among different systems.

Integrated data processing allows the system to identify relationships among physiological signals, environmental conditions, driving duration, fatigue trends, and psychological risks.

For enterprise customers, the platform can provide both individual-level health assessments and fleet-level management information. Managers can understand the health status of individual drivers while also observing overall risk trends across the organization.

The platform therefore acts not only as a monitoring interface but also as a data foundation for enterprise occupational health management and transportation safety decisions.

06 · Target Customers and Application Scenarios

P.A.T.H. primarily serves B2B customers whose operations depend on professional drivers and continuous vehicle services.

Passenger transportation companies can use the system to monitor the health and fatigue conditions of bus, coach, shuttle, and other passenger-vehicle drivers. This supports operational safety and reduces risks associated with prolonged driving.

Freight transportation and logistics companies can deploy P.A.T.H. in commercial fleets to monitor truck drivers who may experience long working hours, irregular rest periods, and extended travel.

Fleet operators can use the platform to establish driver health records, identify high-risk conditions, improve work and rest arrangements, and support occupational health management.

Although initially designed for the transportation industry, P.A.T.H. emphasizes industry adaptability. Its sensing, data-processing, and health-assessment capabilities can be extended to other industries that involve long-term equipment operation, safety-critical work, or continuous employee health monitoring.

07 · Project Effectiveness

Since the pilot launch, P.A.T.H. has been initially deployed in several enterprises, demonstrating its potential to improve operational safety and employee health management.

The pilot applications showed that the system can integrate driver health data, provide continuous monitoring, and support enterprises in understanding health risks that may not be visible through periodic examinations alone.

The project remains at an early stage of development, and its effectiveness still requires broader scenario validation, larger data samples, and longer operating periods.

Nevertheless, the initial implementation has attracted industry attention. The team plans to continue validating the system, improving its algorithms and product experience, and promoting deployment across a wider range of enterprises and application scenarios.

08 · Technical Innovation

The primary innovation of P.A.T.H. lies in combining contactless in-vehicle physiological sensing with continuous health management.

Unlike conventional wearable devices, the system is integrated into the vehicle environment and reduces the need for drivers to actively wear, operate, or maintain additional monitoring equipment. This improves user convenience and supports continuous data acquisition during normal driving activities.

The project also extends monitoring from basic physiological signals to long-term fatigue and psychological assessment. Intelligent algorithms analyze changes over time rather than relying only on isolated measurements.

Another innovation is the integration of physiological data, environmental information, and enterprise management requirements within a unified platform. This makes the solution suitable not only for personal health monitoring but also for fleet-scale occupational health and safety management.

The project’s non-wearable in-vehicle health-monitoring technology has also contributed to an authorized patent, providing a technical foundation for further product development.

09 · Project Outcomes

The project developed an integrated, non-wearable in-vehicle health monitoring solution covering physiological data collection, environmental sensing, intelligent analysis, and enterprise health management.

The prototype monitors ECG signals, carbon dioxide concentration, and temperature without requiring drivers to wear dedicated devices. During validation, the ECG acquisition system achieved approximately 97% signal fidelity.

The project also obtained an authorized Chinese utility model patent for its in-vehicle driver health-monitoring technology.

Patent Number: ZL 2022 2 2724438.7

Through pilot deployments in multiple enterprises, the project demonstrated its potential to support driver health tracking, fatigue-risk analysis, enterprise health management, and transportation safety.

10 · Project Vision

P.A.T.H. aims to become a leading health and safety management solution for commercial transportation in the Internet of Things era.

By connecting in-vehicle sensing devices, intelligent algorithms, health data, and enterprise management systems, the project seeks to transform fragmented health information into continuous and actionable risk insights.

The long-term vision is to establish a full-cycle health management system covering monitoring, assessment, warning, intervention, and long-term tracking.

As the system accumulates more data and is validated in additional scenarios, P.A.T.H. can further improve its health assessment algorithms and adapt its services to different industries.

Ultimately, the project aims to protect employee health, improve enterprise safety management, reduce operational risks, and promote the development of intelligent occupational health services.