A New Method for Time Normalization Based on the Continuous Phase: Application to Neck Kinematics

A New Method for Time Normalization Based on the Continuous Phase: Application to Neck Kinematics

There is growing interest in analyzing human movement data for clinical, sport, and ergonomic applications. Functional Data Analysis (FDA) has emerged as an advanced statistical method for overcoming the shortcomings of traditional analytic methods, because the information about continuous signals c...

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Bibliographic Details
Main Authors: Carlos Llopis-Albert, William Ricardo Venegas Toro, Nidal Farhat, Pau Zamora-Ortiz, Álvaro Felipe Page Del Pozo
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Mathematics
Subjects:
human movement analysis
Functional Data Analysis (FDA)
nonlinear time normalization
registration
warping function
Hilbert transform
Online Access:https://www.mdpi.com/2227-7390/9/23/3138

Internet

https://www.mdpi.com/2227-7390/9/23/3138

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