Cargando…
Single Inertial Sensor-Based Neural Networks to Estimate COM-COP Inclination Angle During Walking
A biomechanical understanding of gait stability is needed to reduce falling risk. As a typical parameter, the COM-COP (center of mass–center of pressure) inclination angle (IA) could provide valuable insight into postural control and balance recovery ability. In this study, an artificial neural netw...
Autores principales: | Choi, Ahnryul, Jung, Hyunwoo, Mun, Joung Hwan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651410/ https://www.ncbi.nlm.nih.gov/pubmed/31284482 http://dx.doi.org/10.3390/s19132974 |
Ejemplares similares
-
Machine Learning Strategies for Low-Cost Insole-Based Prediction of Center of Gravity during Gait in Healthy Males
por: Moon, Jose, et al.
Publicado: (2022) -
Deep learning approach to estimate foot pressure distribution in walking with application for a cost-effective insole system
por: Mun, Frederick, et al.
Publicado: (2022) -
Inertial Sensor Algorithm to Estimate Walk Distance
por: Shah, Vrutangkumar V., et al.
Publicado: (2022) -
Walking Distance Estimation Using Walking Canes with Inertial Sensors
por: Dang, Duc Cong, et al.
Publicado: (2018) -
Height Compensation Using Ground Inclination Estimation in Inertial Sensor-Based Pedestrian Navigation
por: Park, Sang Kyeong, et al.
Publicado: (2011)