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Researchers at the University of California Los Angeles (UCLA) have developed a new soft, self-powered sensor that can reliably measure a person’s fatigue level by tracking eyelid movements. This new device — detailed in the journal Nature Electronics — combines a novel sensor with an AI algorithm to decode fatigue. With a reported accuracy of
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UCLA develops eyelid-mounted sensor to track fatigue with 96% accuracy
Researchers at the University of California Los Angeles (UCLA) have developed a new soft, self-powered sensor that can reliably measure a person’s fatigue level by tracking eyelid movements. This new device — detailed in the journal Nature Electronics — combines a novel sensor with an AI algorithm to decode fatigue. With a reported accuracy of