Methods and Tools for Monitoring Driver's Behavior

TL;DR

This paper presents an innovative architecture of unobtrusive in-vehicle sensors and tools designed to monitor driver behavior, specifically aimed at identifying early signs of dementia in older drivers, supporting traffic safety and health monitoring.

Contribution

It introduces a novel sensor architecture and methods for unobtrusive driver behavior monitoring, with applications in health and traffic management.

Findings

Effective in-vehicle sensor architecture for driver monitoring

Methods capable of identifying early dementia signs

Supports traffic safety and health applications

Abstract

In-vehicle sensing technology has gained tremendous attention due to its ability to support major technological developments, such as connected vehicles and self-driving cars. In-vehicle sensing data are invaluable and important data sources for traffic management systems. In this paper we propose an innovative architecture of unobtrusive in-vehicle sensors and present methods and tools that are used to measure the behavior of drivers. The proposed architecture including methods and tools are used in our NIH project to monitor and identify older drivers with early dementia