Multi-action Knee Contact Force Prediction by Domain Adaptation

Most recent musculoskeletal dynamics estimation methods are designed for predefined actions, such as gait, and don't generalize to various tasks. In this work, we address the problem of estimating internal biomechanical forces during more than one actions by introducing unsupervised domain adap...

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Veröffentlicht in:	IEEE transactions on neural systems and rehabilitation engineering 2024-01, Vol.32, p.1-1
Hauptverfasser:	Loi, Iliana, Zacharaki, Evangelia I., Moustakas, Konstantinos
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation Adaptation models Alignment BiLSTM Biological system modeling Biomechanical engineering Biomechanics Contact force Data models Deep Learning Domain Adaptation Estimation Force Force Prediction Human motion Internal forces Kinematics Knee Long short-term memory Motion simulation Musculoskeletal Modeling Neural State Machine Predictions Predictive models State machines Synthetic data
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