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St. Jude Children's Research Hospital, Virginia Tech
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Estimating hand forces from RGB video could revolutionize how we assess occupational injury risk without the need for cumbersome sensors.
Skip the tape measure: VLMs can estimate hand distances in lifting tasks from video with ~6cm accuracy, enabling automated ergonomic risk assessment.