Analysis and classification of MoCap data by hilbert space embedding-based distance and multikernel learning

A framework is presented to carry out prediction and classification of Motion Capture (MoCap) multichannel data, based on kernel adaptive filters and multi-kernel learning. To this end, a Kernel Adaptive Filter (KAF) algorithm extracts the dynamic of each channel, relying on the similarity between m...

Full description

Autores:
Pulgarín Giraldo, Juan Diego
Álvarez Meza, Andrés Marino
Santamaría, Ignacio
Van Vaerenbergh, Steven
Castellanos Dominguez, Germán
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Universidad Autónoma de Occidente
Repositorio:
RED: Repositorio Educativo Digital UAO
Idioma:
eng
OAI Identifier:
oai:red.uao.edu.co:10614/11493
Acceso en línea:
http://hdl.handle.net/10614/11493
https://doi.org/10.1007/978-3-030-13469-3_22
Palabra clave:
Análisis funcional
Functional analysis
Filtros eléctricos
Electric filters
Rights
restrictedAccess
License
Derechos Reservados - Universidad Autónoma de Occidente