Cargando…
Predicting the Internal Knee Abduction Impulse During Walking Using Deep Learning
Knee joint moments are commonly calculated to provide an indirect measure of knee joint loads. A shortcoming of inverse dynamics approaches is that the process of collecting and processing human motion data can be time-consuming. This study aimed to benchmark five different deep learning methods in...
Autores principales: | Boukhennoufa, Issam, Altai, Zainab, Zhai, Xiaojun, Utti, Victor, McDonald-Maier, Klaus D, Liew, Bernard X. W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133596/ https://www.ncbi.nlm.nih.gov/pubmed/35646876 http://dx.doi.org/10.3389/fbioe.2022.877347 |
Ejemplares similares
-
Performance of multiple neural networks in predicting lower limb joint moments using wearable sensors
por: Altai, Zainab, et al.
Publicado: (2023) -
Smooth and accurate predictions of joint contact force time-series in gait using over parameterised deep neural networks
por: Liew, Bernard X. W., et al.
Publicado: (2023) -
Monocular 3D Human Pose Markerless Systems for Gait Assessment
por: Zhu, Xuqi, et al.
Publicado: (2023) -
Simulation Analysis of Impulsive Ankle Push-Off on the Walking Speed of a Planar Biped Robot
por: Ji, Qiaoli, et al.
Publicado: (2021) -
Hip–Knee Coupling Exoskeleton With Offset Theory for Walking Assistance
por: Ma, Jianfeng, et al.
Publicado: (2022)