Sam Van Rossom - researchr alias

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Viewing Publication 1 - 5 from 5

2022

Impact of Gender and Feature Set on Machine-Learning-Based Prediction of Lower-Limb Overuse Injuries Using a Single Trunk-Mounted AccelerometerSieglinde Bogaert, Jesse Davis, Sam Van Rossom, Benedicte Vanwanseele. sensors, 22(8):2860, 2022. [doi]

Movement Quality Parameters during Gait Assessed by a Single Accelerometer in Subjects with Osteoarthritis and Following Total Joint ArthroplastyJill Emmerzaal, Kristoff Corten, Rob van der Straaten, Liesbet De Baets, Sam Van Rossom, Annick Timmermans, Ilse Jonkers, Benedicte Vanwanseele. sensors, 22(8):2955, 2022. [doi]

2020

A Framework for Recognition and Prediction of Human Motions in Human-Robot Collaboration Using Probabilistic Motion ModelsThomas Callens, Tuur van der Have, Sam Van Rossom, Joris De Schutter, Erwin Aertbeliën. ral, 5(4):5151-5158, 2020. [doi]

2019

SimCP: A Simulation Platform to Predict Gait Performance Following Orthopedic Intervention in Children With Cerebral PalsyLorenzo Pitto, Hans Kainz, Antoine Falisse, Mariska Wesseling, Sam Van Rossom, Hoa Hoang, Eirini Papageorgiou, Ann Hallemans, Kaat Desloovere, Guy Molenaers, Anja Van Campenhout, Friedl De Groote, Ilse Jonkers. finr, 2019:54, 2019. [doi]

2017

EMG-Driven Optimal Estimation of Subject-SPECIFIC Hill Model Muscle-Tendon Parameters of the Knee Joint ActuatorsAntoine Falisse, Sam Van Rossom, Ilse Jonkers, Friedl De Groote. tbe, 64(9):2253-2262, 2017. [doi]

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