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Baseball Player Behavior Classification System Using Long Short-Term Memory with Multimodal Features
In this paper, a preliminary baseball player behavior classification system is proposed. By using multiple IoT sensors and cameras, the proposed method accurately recognizes many of baseball players’ behaviors by analyzing signals from heterogeneous sensors. The contribution of this paper is threefo...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471259/ https://www.ncbi.nlm.nih.gov/pubmed/30909503 http://dx.doi.org/10.3390/s19061425 |