Methods and Tools for Monitoring Driver's Behavior
This addresses the problem of early dementia detection in older drivers for healthcare and traffic safety, but appears incremental as it builds on existing in-vehicle sensing technology.
The paper proposes an innovative architecture of unobtrusive in-vehicle sensors to measure driver behavior, specifically used in an NIH project to monitor and identify older drivers with early dementia.
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