Studies from University of New South Wales in the Area of Machine Learning Described (Validation and Interpretation of a Multimodal Drowsiness Detection System Using Explainable Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Jan.22) ：33-34.

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Studies from University of New South Wales in the Area of Machine Learning Described (Validation and Interpretation of a Multimodal Drowsiness Detection System Using Explainable Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting out ofSydney, Australia, by NewsRx editors, research stated, “Drowsiness behind the wheel is a major road safety issue with efforts focused on developing drowsy driving detection systems. However, most drowsy drivingdetection studies using physio-logical signals have focused on developing a ‘black box’ machine learningclassifier, with much less focus on ‘robustness’ and ‘explainability’-two crucial properties of a trustworthymachine learning model.”

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Sydney/Australia/Australia and New Zealand/Cyborgs/Emerging Technologies/Machine Learning/University of New South Wales

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2024

Robotics & Machine Learning Daily News

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