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...

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Detalles Bibliográficos
Autores principales: Sun, Shih-Wei, Mou, Ting-Chen, Fang, Chih-Chieh, Chang, Pao-Chi, Hua, Kai-Lung, Shih, Huang-Chia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471259/
https://www.ncbi.nlm.nih.gov/pubmed/30909503
http://dx.doi.org/10.3390/s19061425

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