2023/01/28 by Muhammad Tanveer Jan, Sonia Moshfeghi, Jan, Muhammad Tanveer +17
Computer Science · Medicine · #Age of Information Optimization #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #Context-Aware Activity Recognition Systems #ECG Monitoring and Analysis #FOS: Computer and information sciences
paper · pdf · doi:10.48550/arxiv.2301.12269
openalex publication_date 2023/01/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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