Cargando…
Lower Body Kinematics Monitoring in Running Using Fabric-Based Wearable Sensors and Deep Convolutional Neural Networks
Continuous kinematic monitoring of runners is crucial to inform runners of inappropriate running habits. Motion capture systems are the gold standard for gait analysis, but they are spatially limited to laboratories. Recently, wearable sensors have gained attention as an unobtrusive method to analyz...
Autores principales: | Gholami, Mohsen, Rezaei, Ahmad, Cuthbert, Tyler J., Napier, Christopher, Menon, Carlo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928687/ https://www.ncbi.nlm.nih.gov/pubmed/31816931 http://dx.doi.org/10.3390/s19235325 |
Ejemplares similares
-
Fatigue Monitoring in Running Using Flexible Textile Wearable Sensors
por: Gholami, Mohsen, et al.
Publicado: (2020) -
Estimating Lower Extremity Running Gait Kinematics with a Single Accelerometer: A Deep Learning Approach
por: Gholami, Mohsen, et al.
Publicado: (2020) -
Application-Based Production and Testing of a Core–Sheath Fiber Strain Sensor for Wearable Electronics: Feasibility Study of Using the Sensors in Measuring Tri-Axial Trunk Motion Angles
por: Rezaei, Ahmad, et al.
Publicado: (2019) -
Effects of acute wearable resistance loading on overground running lower body kinematics
por: Trounson, Karl M., et al.
Publicado: (2020) -
Passive and Wireless All‐Textile Wearable Sensor System
por: Galli, Valeria, et al.
Publicado: (2023)