Cargando…
Development and Evaluation of a Slip Detection Algorithm for Walking on Level and Inclined Ice Surfaces
Slip-resistant footwear can prevent fall-related injuries on icy surfaces. Winter footwear slip resistance can be measured by the Maximum Achievable Angle (MAA) test, which measures the steepest ice-covered incline that participants can walk up and down without experiencing a slip. However, the MAA...
Autores principales: | Cen, Jun-Yu, Dutta, Tilak |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956093/ https://www.ncbi.nlm.nih.gov/pubmed/35336541 http://dx.doi.org/10.3390/s22062370 |
Ejemplares similares
-
Slip resistance of winter footwear on snow and ice measured using maximum achievable incline
por: Hsu, Jennifer, et al.
Publicado: (2016) -
Evaluation of Winter Footwear: Comparison of Test Methods to Determine Footwear Slip Resistance on Ice Surfaces
por: Roshan Fekr, Atena, et al.
Publicado: (2021) -
Deep Neural Network for Slip Detection on Ice Surface
por: Wu, Kent, et al.
Publicado: (2020) -
Gyro-Sensor-Based Vibration Control for Dynamic Humanoid-Robot Walking on Inclined Surfaces
por: Dutta, Sunandan, et al.
Publicado: (2020) -
Gait Event Detection on Level Ground and Incline Walking Using a Rate Gyroscope
por: Catalfamo, Paola, et al.
Publicado: (2010)