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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Bibliografische gegevens

Hoofdauteurs:	Jongin Choi, Eunjin Choi, Seonghyun Choi, Woojoo Lee
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Elsevier 2025-09-01
Reeks:	Alexandria Engineering Journal
Onderwerpen:	Eye blink detection Dynamic vision sensor DBSCAN Driver drowsiness detection Edge computing Processor architecture
Online toegang:	http://www.sciencedirect.com/science/article/pii/S1110016825008439
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