Abstract: Motivated by depression's significant impact on global health, this work proposes MultiDepNet, a novel multi-modal interpretable depression detection system integrating visual, physiological ...
Abstract: The growing prevalence of driving distractions poses significant safety challenges. This paper introduces a database created using a driving simulator to mimic visual, cognitive, and manual ...
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