A Hierarchical Deep Fusion Framework for Egocentric Activity Recognition Using a Wearable Hybrid Sensor System.

Yu, Haibin; Pan, Guoxiong; Pan, Mian; Li, Chong; Jia, Wenyan; Zhang, Li; Sun, Mingui

Yu, Haibin; Pan, Guoxiong; Pan, Mian; Li, Chong; Jia, Wenyan; Zhang, Li; Sun, Mingui.

Afiliação

Yu H; College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China. shoreyhb@hdu.edu.cn.
Pan G; College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China. pgx@hdu.edu.cn.
Pan M; College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China. ai@hdu.edu.cn.
Li C; College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China. 172040046@hdu.edu.cn.
Jia W; Department of Electrical and Computer Engineering, University of Pittsburgh, PA 15261, USA. wej6@pitt.edu.
Zhang L; School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China. zhangli@hdu.edu.cn.
Sun M; Department of Neurological Surgery, University of Pittsburgh, PA 15213, USA. drsun@pitt.edu.

Sensors (Basel) ; 19(3)2019 Jan 28.

Article em En | MEDLINE | ID: mdl-30696100

Palavras-chave

deep learning; egocentric activity recognition; hierarchical fusion framework; wearable sensor system

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

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