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INU scientists propose a model to predict per

<p style="text-align:justify"><strong>In Korea, daily workers are being provided with virtual reality (VR)-based safety training content to mitigate the increase in occupational accidents. However, the current training evaluation methods suffer from a lack of immediate feedback from participants for personal learning performance evaluation. To address this, a team of researchers has now developed a new framework that uses real-time biometric data during VR training for improving personalized safety and preventing occupational hazards.</strong></p>

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