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ICUIMC
2016
ACM

A Real-time Facial Expression Recognizer using Deep Neural Network

3 years 17 days ago
A Real-time Facial Expression Recognizer using Deep Neural Network
With increasing boundaries of deep learning based recognition model, particular demands for real-time user state recognizer targeting smart home devices have emerged. This paper suggests real-time facial expression recognizer to satisfy them. We use HOG feature descriptor to detect a human face, correlation tracker to track detected face and deep Convolutional Neural Network (CNN) based recognizer on our model. Our CNN model is trained and tested with Kaggle facial expression recognition challenge dataset. The experimental result shows that high test accuracy and low computation time are achieved by our recognizer enabling real-time high-performance human expression recognition for mobile use. Categories and Subject Descriptors I.5.4 [Pattern Recognition]: Application – computer vision. General Terms Algorithms. Keywords Deep Learning, Machine Learning, Neural Network, Convolutional Neural Network, CNN, Real-time Recognition, Facial Expression Recognition, Computer Vision, Pattern R...
Jinwoo Jeon, Jun-Cheol Park, Youngjoo Jo, Changmo
Added 04 Apr 2016
Updated 04 Apr 2016
Type Journal
Year 2016
Where ICUIMC
Authors Jinwoo Jeon, Jun-Cheol Park, Youngjoo Jo, Changmo Nam, Kyung-Hoon Bae, Youngkyoo Hwang, Dae-Shik Kim
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