Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks

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...

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Bibliographic Details
Main Authors: Raoul Hoffmann, Hanna Brodowski, Axel Steinhage, Marcin Grzegorzek
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
gait patterns
gait analysis
machine learning
feature learning
time series analysis
recurrent neural network
Online Access:https://www.mdpi.com/1424-8220/21/4/1086

Internet

https://www.mdpi.com/1424-8220/21/4/1086

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