A Machine Learning Model to Predict Spinal Compression Force During Manual Lifting: Comparison of the Model Performance With Marker-Based Versus Markerless Kinematic Inputs
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2026
Abstract e pubblicazione originale
L’abstract è consultabile nella fonte originale. Non viene ripubblicato qui perché non risulta verificata una licenza compatibile.
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Ergonomics and Musculoskeletal DisordersMuscle activation and electromyography studiesOccupational Health and Performancemanual liftingmusculoskeletal modelingmarkerless motion capturemachine learning predictionOpenSim simulation
Come citare questo studio
Mina Salehi, Ali Taheri, Jeong Ho Kim. (2026). A Machine Learning Model to Predict Spinal Compression Force During Manual Lifting: Comparison of the Model Performance With Marker-Based Versus Markerless Kinematic Inputs. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. DOI: 10.1177/10711813261493594
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