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...
- Autores:
-
Valencia-Marín, Cristian Kaori
Velásquez-Martínez, Luisa Fernanda
Alvarez-Meza, Andrés Marino
Castellanos-Domínguez, Germán
Pulgarín Giraldo, Juan Diego
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2021
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/15904
- Acceso en línea:
- https://hdl.handle.net/10614/15904
https://doi.org/10.3390/s21134443
https://red.uao.edu.co/
- Palabra clave:
- Hilbert embedding
Joint distribution
Time series
Classification
Mocap data
- Rights
- openAccess
- License
- Derechos reservados - MDPI, 2021