[2301.12269] Methods and Tools for Monitoring Driver's Behavior
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arXiv:2301.12269 (cs)
[Submitted on 28 Jan 2023 (v1), last revised 27 Mar 2023 (this version, v2)]

Title:Methods and Tools for Monitoring Driver's Behavior

Authors:Muhammad Tanveer Jan, Sonia Moshfeghi, Joshua William Conniff, Jinwoo Jang, Kwangsoo Yang, Jiannan Zhai, Monica Rosselli, David Newman, Ruth Tappen, Borko Furht
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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
Subjects: Computers and Society (cs.CY); Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2301.12269 [cs.CY]
  (or arXiv:2301.12269v2 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2301.12269

Submission history

From: Muhammad Tanveer Jan [view email]
[v1] Sat, 28 Jan 2023 19:00:50 UTC (495 KB)
[v2] Mon, 27 Mar 2023 18:50:07 UTC (495 KB)
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