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MOTION FEATURE AUGMENTED RECURRENT NEURAL NETWORK FOR SKELETON-BASED DYNAMIC HAND GESTURE RECOGNITION

Abstract: 

Dynamic hand gesture recognition has attracted increasing interests because of its importance for human computer interaction. In this paper, we propose a new motion feature augmented recurrent neural network for skeleton-based dynamic hand gesture recognition. Finger motion features are extracted to describe finger movements and global motion features are utilized to represent the global movement of hand skeleton. These motion features are then fed into a bidirectional recurrent neural network (RNN) along with the skeleton sequence, which can augment the motion features for RNN and improve the classification performance. Experiments demonstrate that our proposed method is effective and outperforms start-of-the-art methods.

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Paper Details

Authors:
Xinghao Chen, Hengkai Guo, Guijin Wang, Li Zhang
Submitted On:
16 September 2017 - 11:39am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Xinghao Chen
Paper Code:
2077
Document Year:
2017
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Document Files

ICIP2017-Poster-Chen.pdf

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[1] Xinghao Chen, Hengkai Guo, Guijin Wang, Li Zhang, "MOTION FEATURE AUGMENTED RECURRENT NEURAL NETWORK FOR SKELETON-BASED DYNAMIC HAND GESTURE RECOGNITION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2198. Accessed: Sep. 21, 2019.
@article{2198-17,
url = {http://sigport.org/2198},
author = {Xinghao Chen; Hengkai Guo; Guijin Wang; Li Zhang },
publisher = {IEEE SigPort},
title = {MOTION FEATURE AUGMENTED RECURRENT NEURAL NETWORK FOR SKELETON-BASED DYNAMIC HAND GESTURE RECOGNITION},
year = {2017} }
TY - EJOUR
T1 - MOTION FEATURE AUGMENTED RECURRENT NEURAL NETWORK FOR SKELETON-BASED DYNAMIC HAND GESTURE RECOGNITION
AU - Xinghao Chen; Hengkai Guo; Guijin Wang; Li Zhang
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2198
ER -
Xinghao Chen, Hengkai Guo, Guijin Wang, Li Zhang. (2017). MOTION FEATURE AUGMENTED RECURRENT NEURAL NETWORK FOR SKELETON-BASED DYNAMIC HAND GESTURE RECOGNITION. IEEE SigPort. http://sigport.org/2198
Xinghao Chen, Hengkai Guo, Guijin Wang, Li Zhang, 2017. MOTION FEATURE AUGMENTED RECURRENT NEURAL NETWORK FOR SKELETON-BASED DYNAMIC HAND GESTURE RECOGNITION. Available at: http://sigport.org/2198.
Xinghao Chen, Hengkai Guo, Guijin Wang, Li Zhang. (2017). "MOTION FEATURE AUGMENTED RECURRENT NEURAL NETWORK FOR SKELETON-BASED DYNAMIC HAND GESTURE RECOGNITION." Web.
1. Xinghao Chen, Hengkai Guo, Guijin Wang, Li Zhang. MOTION FEATURE AUGMENTED RECURRENT NEURAL NETWORK FOR SKELETON-BASED DYNAMIC HAND GESTURE RECOGNITION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2198