Cargando…
Validation of Running Gait Event Detection Algorithms in a Semi-Uncontrolled Environment
The development of lightweight portable sensors and algorithms for the identification of gait events at steady-state running speeds can be translated into the real-world environment. However, the output of these algorithms needs to be validated. The purpose of this study was to validate the identifi...
Autores principales: | Donahue, Seth R., Hahn, Michael E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101903/ https://www.ncbi.nlm.nih.gov/pubmed/35591141 http://dx.doi.org/10.3390/s22093452 |
Ejemplares similares
-
Estimation of gait events and kinetic waveforms with wearable sensors and machine learning when running in an unconstrained environment
por: Donahue, Seth R., et al.
Publicado: (2023) -
Estimation of ground reaction force waveforms during fixed pace running outside the laboratory
por: Donahue, Seth R., et al.
Publicado: (2023) -
Types of anomalies in two-dimensional video-based gait analysis in uncontrolled environments
por: Sugiyama, Yuki, et al.
Publicado: (2023) -
Evaluating Pedometer Algorithms on Semi-Regular and Unstructured Gaits †
por: Mattfeld, Ryan, et al.
Publicado: (2021) -
Automated Accelerometer-Based Gait Event Detection During Multiple Running Conditions
por: Benson, Lauren C., et al.
Publicado: (2019)