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		<title>Wearable Electronics and Machine Learning Converge to Catch Operator Fatigue Before It Turns Dangerous</title>
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		<pubDate>Fri, 16 Oct 2026 09:52:40 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[autonomic nervous system]]></category>
		<category><![CDATA[Burnout]]></category>
		<category><![CDATA[EEG]]></category>
		<category><![CDATA[fatigue]]></category>
		<category><![CDATA[fNIRS]]></category>
		<category><![CDATA[heart rate variability]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[mental workload]]></category>
		<category><![CDATA[pilots]]></category>
		<category><![CDATA[post-COVID fatigue]]></category>
		<category><![CDATA[wearable electronics]]></category>
		<category><![CDATA[XGBoost]]></category>
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					<description><![CDATA[A new Research Topic in Frontiers in Electronics shows how wearable sensors and machine learning models, from heart rate variability to brain imaging, are being combined to detect and predict operator fatigue across aviation, healthcare, and industry.]]></description>
		
		
		
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