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An Automated Statistical Shape Model Developmental Pipeline: Application to the Human Scapula and Humerus., , , и . IEEE Trans. Biomed. Eng., 62 (4): 1098-1107 (2015)Extraction of Temporal Gait Parameters using a Reduced Number of Wearable Accelerometers., , , , , , , , , и . BIOSIGNALS, стр. 57-66. SciTePress, (2016)Algorithm for Extracting Initial and Terminal Contact Timings during Treadmill Running using Inertial Sensors., , , , , , , , и . BIOSIGNALS, стр. 258-265. SCITEPRESS, (2020)Contribution à L'éLaboration d'un espace commun de RepréSentation pour L'analyse Morpho-fonctionnelle du Membre Superieur : Application à L'articulation GLéNohuméRale. (Contribution to morpho-functional analysis of the upper-limb: application to the gleno-humeral joint).. Telecom Bretagne, Brest, France, (2009)Algorithm for Temporal Gait Analysis Using Wireless Foot-Mounted Accelerometers., , , , , , , , , и . BIOSTEC (Selected Papers), том 690 из Communications in Computer and Information Science, стр. 236-254. Springer, (2016)Comparison of Machine Learning Algorithms for Human Activity Recognition., , , и . BIOSIGNALS, стр. 162-169. SCITEPRESS, (2023)Segmentation of gait cycles using foot-mounted 3D accelerometers., , , , , , и . IC3D, стр. 1-7. IEEE, (2015)Using merged kinematic and anatomical data to evaluate humeral motion estimation: a pilot study., , , , , и . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 1 (1): 43-47 (2013)Adaptive Method for Detecting Zero-Velocity Regions to Quantify Stride-to-Stride Spatial Gait Parameters using Inertial Sensors., , , , , , , , и . BIOSIGNALS, стр. 229-236. SciTePress, (2019)978-989-758-353-7.Development and validation of a 3D kinematic-based method for determining gait events during overground walking., , , , , , , и . IC3D, стр. 1-6. IEEE, (2014)