Cargando…
Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks
Gait patterns are a result of the complex kinematics that enable human two-legged locomotion, and they can reveal a lot about a person’s state and health. Analysing them is useful for researchers to get new insights into the course of diseases, and for physicians to track the progress after healing...
Autores principales: | Hoffmann, Raoul, Brodowski, Hanna, Steinhage, Axel, Grzegorzek, Marcin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914733/ https://www.ncbi.nlm.nih.gov/pubmed/33562548 http://dx.doi.org/10.3390/s21041086 |
Ejemplares similares
-
Correction: Hoffmann et al. Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks. Sensors 2021, 21, 1086
por: Hoffmann, Raoul, et al.
Publicado: (2022) -
Gait Analysis in Walking and Trotting Dairy Cows on Different Flooring Types with Novel Mobile Pressure Sensors and Inertial Sensors
por: Fischer, Daniela, et al.
Publicado: (2022) -
Gait Analysis Using Floor Markers and Inertial Sensors
por: Do, Tri Nhut, et al.
Publicado: (2012) -
Identity and Gender Recognition Using a Capacitive Sensing Floor and Neural Networks
por: Konings, Daniel, et al.
Publicado: (2022) -
Using Barometer for Floor Assignation within Statistical Indoor Localization
por: Fetzer, Toni, et al.
Publicado: (2022)