An Enhanced Joint Hilbert Embedding-Based Metric to Support Mocap Data Classification with Preserved Interpretability

An Enhanced Joint Hilbert Embedding-Based Metric to Support Mocap Data Classification with Preserved Interpretability

Motion capture (Mocap) data are widely used as time series to study human movement. Indeed, animation movies, video games, and biomechanical systems for rehabilitation are significant applications related to Mocap data. However, classifying multi-channel time series from Mocap requires coding the in...

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Bibliographic Details
Main Authors: Cristian Kaori Valencia-Marin, Juan Diego Pulgarin-Giraldo, Luisa Fernanda Velasquez-Martinez, Andres Marino Alvarez-Meza, German Castellanos-Dominguez
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
Hilbert embedding
joint distribution
time series
classification
Mocap data
Online Access:https://www.mdpi.com/1424-8220/21/13/4443

Internet

https://www.mdpi.com/1424-8220/21/13/4443

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