2024
DOI: 10.3389/fsens.2024.1375034
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A semi-supervised anomaly detection strategy for drunk driving detection: a feasibility study

Fouzi Harrou,
K. Ramakrishna Kini,
Muddu Madakyaru
et al.

Abstract: Drunk driving poses a significant threat to road safety, necessitating effective detection methods to enhance preventive measures and ensure the well-being of road users. Recognizing the critical importance of identifying drunk driving incidents for public safety, this paper introduces an effective semi-supervised anomaly detection strategy. The proposed strategy integrates three key elements: Independent Component Analysis (ICA), Kantorovitch distance (KD), and double Exponentially Weighted Moving Average (DE… Show more

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