The iliotibial band: a complex structure with versatile functions

LA Hutchinson, GA Lichtwark, RW Willy, LA Kelly - Sports Medicine, 2022 - Springer
The development of a pronounced iliotibial band (ITB) is an anatomically distinct evolution of
humans. The mechanical behaviour of this “new” structure is still poorly understood and …

A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions

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 …

Human movement datasets: An interdisciplinary scoping review

T Olugbade, M Bieńkiewicz, G Barbareschi… - ACM Computing …, 2022 - dl.acm.org
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 …

A public dataset of overground and treadmill walking kinematics and kinetics in healthy individuals

CA Fukuchi, RK Fukuchi, M Duarte - PeerJ, 2018 - peerj.com
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 …

Innovations and pitfalls in the use of wearable devices in the prevention and rehabilitation of running related injuries

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 …

Deep neural networks for human's fall-risk prediction using force-plate time series signal

M Savadkoohi, T Oladunni, LA Thompson - Expert systems with …, 2021 - Elsevier
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 …

Positive work contribution shifts from distal to proximal joints during a prolonged run

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; …

Surface electromyogram, kinematic, and kinetic dataset of lower limb walking for movement intent recognition

W Wei, F Tan, H Zhang, H Mao, M Fu, OW Samuel, G Li - Scientific Data, 2023 - nature.com
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 …

Estimation of gait events and kinetic waveforms with wearable sensors and machine learning when running in an unconstrained environment

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 …

[HTML][HTML] A review on foot-ground contact modeling strategies for human motion analysis

L Saraiva, MR da Silva, F Marques, MT da Silva… - … and Machine Theory, 2022 - Elsevier
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 …