Detection of Human Gait Phases Using Textile Pressure Sensors: A Low Cost and Pervasive Approach

Detection of Human Gait Phases Using Textile Pressure Sensors: A Low Cost and Pervasive Approach

Human gait analysis is a standard method used for detecting and diagnosing diseases associated with gait disorders. Wearable technologies, due to their low costs and high portability, are increasingly being used in gait and other medical analyses. This paper evaluates the use of low-cost homemade te...

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Bibliographic Details
Main Authors: Farías, G. (Author), Fingerhuth, S. (Author), Hermosilla, G. (Author), Milovic, M. (Author), Pizarro, F. (Author), Yunge, D. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Classification (of information)
Costs
data annotation
Data annotation
Decision trees
Diagnosis
gait analysis
Gait analysis
Gait phasis
Gait-phase
Learning algorithms
Low-costs
Medical applications
Multivariant analysis
multivariate time series classification
Multivariate time series classifications
Patient monitoring
Pattern recognition
Random forests
smart clothes
Smart clothes
Supervised learning
supervised machine learning
Supervised machine learning
textile sensors
Textile sensors
Time series
Time series analysis
Times series
Wearable sensors
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