Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Fabian Hoitz"'
Autor:
Fabian Horst, Fabian Hoitz, Djordje Slijepcevic, Nicolas Schons, Hendrik Beckmann, Benno M. Nigg, Wolfgang I. Schöllhorn
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Placing a stronger focus on subject-specific responses to footwear may lead to a better functional understanding of footwear’s effect on running and its influence on comfort perception, performance, and pathogenesis of injuries. We investi
Externí odkaz:
https://doaj.org/article/c2ea35c0766f470fbc96be675c9858de
Publikováno v:
Sensors, Vol 22, Iss 9, p 3338 (2022)
Ground reaction forces (GRFs) describe how runners interact with their surroundings and provide the basis for computing inverse dynamics. Wearable technology can predict time−continuous GRFs during walking and running; however, the majority of GRF
Externí odkaz:
https://doaj.org/article/224c25d4c7114344a9cd8d42ea6cebec
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0249657 (2021)
Human gait is as unique to an individual as is their fingerprint. It remains unknown, however, what gait characteristics differentiate well between individuals that could define the uniqueness of human gait. The purpose of this work was to determine
Externí odkaz:
https://doaj.org/article/3b1f0b82020f47fbb2fd47d585437b0a
Publikováno v:
PLoS ONE, Vol 15, Iss 10, p e0239852 (2020)
Studies on the paradigm of the preferred movement path are scarce, and as a result, many aspects of the paradigm remain elusive. It remains unknown, for instance, how muscle activity adapts when differences in joint kinematics, due to altered running
Externí odkaz:
https://doaj.org/article/e05f14479b444244928c87aee735504f
Autor:
Fabian Hoitz, Laura Fraeulin, Vinzenz von Tscharner, Daniela Ohlendorf, Benno M. Nigg, Christian Maurer-Grubinger
Publikováno v:
Sensors, Vol 21, Iss 21, p 7145 (2021)
Human movement patterns were shown to be as unique to individuals as their fingerprints. However, some movement characteristics are more important than other characteristics for machine learning algorithms to distinguish between individuals. Here, we
Externí odkaz:
https://doaj.org/article/8974b7b857e94e829772cd3fe03661d7
Autor:
Benedict Low, Gabriel Vilas Boas, Lars Meyer, Eneritz Lizaso, Fabian Hoitz, Nuno Leite, Bruno Gonçalves
Publikováno v:
Motriz: Revista de Educacao Fisica, Vol 24, Iss 2 (2018)
Abstract AIMS The aim of this study was to explore the effects of a deep-defending vs high-press defending strategy on footballers’ tactical behaviour, physical and physiological responses, when in numerical difference. METHODS Nineteen elite profe
Externí odkaz:
https://doaj.org/article/6952b7d77db44be896a1101faa084402
Autor:
Benno M. Nigg, Sandro Nigg, Fabian Hoitz, Ashna Subramanium, Jordyn Vienneau, John William Wannop, Arash Khassetarash, Shahab Alizadeh, Emily Matijevich, Eric C. Honert, W. Brent Edwards, Maurice Mohr
Publikováno v:
Footwear Science. :1-11
Autor:
Vinzenz von Tscharner, Christian Maurer-Grubinger, Daniela Ohlendorf, Laura Fraeulin, Fabian Hoitz, Benno M. Nigg
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 7145, p 7145 (2021)
Sensors
Volume 21
Issue 21
Sensors, Vol 21, Iss 7145, p 7145 (2021)
Sensors
Volume 21
Issue 21
Human movement patterns were shown to be as unique to individuals as their fingerprints. However, some movement characteristics are more important than other characteristics for machine learning algorithms to distinguish between individuals. Here, we
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 4, p e0249657 (2021)
PLoS ONE, Vol 16, Iss 4, p e0249657 (2021)
Human gait is as unique to an individual as is their fingerprint. It remains unknown, however, what gait characteristics differentiate well between individuals that could define the uniqueness of human gait. The purpose of this work was to determine