Dynamic gesture recognition based on feature fusion network and variant ConvLSTM

Dynamic gesture recognition based on feature fusion network and variant ConvLSTM

Gesture is a natural form of human communication, and it is of great significance in human–computer interaction. In the dynamic gesture recognition method based on deep learning, the key is to obtain comprehensive gesture feature information. Aiming at the problem of inadequate extraction of spatiot...

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Bibliographic Details
Main Authors: Yuqing Peng, Huifang Tao, Wei Li, Hongtao Yuan, Tiejun Li
Format: Article
Language:English
Published: Wiley 2020-09-01
Series:IET Image Processing
Subjects:
variant ConvLSTM
human communication
human‐computer interaction
dynamic gesture recognition method
deep learning
spatiotemporal feature extraction
Online Access:https://doi.org/10.1049/iet-ipr.2019.1248

Internet

https://doi.org/10.1049/iet-ipr.2019.1248

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