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Design of Ensemble Stacked Auto-Encoder for Classification of Horse Gaits with MEMS Inertial Sensor Technology

This paper discusses the classification of horse gaits for self-coaching using an ensemble stacked auto-encoder (ESAE) based on wavelet packets from the motion data of the horse rider. For this purpose, we built an ESAE and used probability values at the end of the softmax classifier. First, we init...

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Detalles Bibliográficos
Autores principales: Lee, Jae-Neung, Byeon, Yeong-Hyeon, Kwak, Keun-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187387/
https://www.ncbi.nlm.nih.gov/pubmed/30424344
http://dx.doi.org/10.3390/mi9080411