E-BTS: A low-power Event-driven Blink Tracking System with hardware-software co-optimized design for real-time driver drowsiness detection

Existing driver drowsiness detection methods based on RGB cameras and neural networks face critical limitations in variable lighting conditions and impose high computational burdens, rendering them unsuitable for real-time, low-power embedded applications. This paper presents an Event-driven Blink T...

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書誌詳細

主要な著者:	Jongin Choi, Eunjin Choi, Seonghyun Choi, Woojoo Lee
フォーマット:	Artigo
言語:	Inglês
出版事項:	Elsevier 2025-09-01
シリーズ:	Alexandria Engineering Journal
主題:	Eye blink detection Dynamic vision sensor DBSCAN Driver drowsiness detection Edge computing Processor architecture
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S1110016825008439
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