J Camargo, A Ramanathan, W Flanagan… - Journal of Biomechanics, 2021 - Elsevier
We introduce a novel dataset containing 3-dimensional biomechanical and wearable sensor data from 22 able-bodied adults for multiple locomotion modes (level-ground/treadmill …
Movement dataset reviews exist but are limited in coverage, both in terms of size and research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
In a typical clinical gait analysis, the gait patterns of pathological individuals are commonly compared with the typically faster, comfortable pace of healthy subjects. However, due to …
RW Willy - Physical Therapy in Sport, 2018 - Elsevier
Running-related injuries are common and are associated with a high rate of reoccurrence. Biomechanics and errors in applied training loads are often cited as causes of running …
M Sanno, S Willwacher, G Epro… - … and science in …, 2018 - openresearch.lsbu.ac.uk
PURPOSE: To investigate the joint-specific contributions to the total lower extremity joint work during a prolonged fatiguing run. METHODS: Recreational long-distance runners (RR; …
Early and accurate identification of the balance deficits could reduce falls, in particular for older adults, a prone population. Our work investigates deep neural networks' capacity to …
Surface electromyogram (sEMG) offers a rich set of motor information for decoding limb motion intention that serves as a control input to Intelligent human-machine synergy systems …
SR Donahue, ME Hahn - Scientific Reports, 2023 - nature.com
Wearable sensors and machine learning algorithms are becoming a viable alternative for biomechanical analysis outside of the laboratory. The purpose of this work was to estimate …
This review discusses the methodologies available in the literature, usually utilized to study the foot-ground interaction in the human locomotion. For this purpose, PubMed, Web of …