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To Prevent Injury, Computers Will Predict When Soldiers Are Tired
Machine learning technology could soon report in real time whether soldiers need a break and identify who is at risk for injury.
Ted whitman
Connor pyles
Bryndan lindsey
Mike vignos
Johns hopkins
Bradley ritland
Researchers at johns hopkins university
Us armed
Johns hopkins university applied physics laboratory
Performance division
Johns hopkins university
Colonel bradley ritland
Military performance division
Research institute
Environmental medicine
Physical demands
Fatigue monitoring system could prevent warfighter injuries
The system tracks aerobic and anaerobic exercises to predict the risk of musculoskeletal injuries and protect those who are at high risk for injuries
Jason lee
Bryndan lindsey
Marshall tumperi
Melissa dunphy
Connor pyles
Nikki steiner
Mike vignos
John clark
Kathleen perrino
Korine ohiri
Byajai rajpublished
Department of defense
Us army
Johns hopkins applied physics laboratory
David drewry
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