MyJournals Home  

RSS FeedsSensors, Vol. 20, Pages 1087: eXnet: An Efficient Approach for Emotion Recognition in the Wild (Sensors)

 
 

18 february 2020 16:02:44

 
Sensors, Vol. 20, Pages 1087: eXnet: An Efficient Approach for Emotion Recognition in the Wild (Sensors)
 


Facial expression recognition has been well studied for its great importance in the areasof human–computer interaction and social sciences. With the evolution of deep learning, therehave been significant advances in this area that also surpass human-level accuracy. Althoughthese methods have achieved good accuracy, they are still suffering from two constraints (high computational power and memory), which are incredibly critical for small hardware-constrained devices. To alleviate this issue, we propose a new Convolutional Neural Network (CNN) architecture eXnet (Expression Net) based on parallel feature extraction which surpasses current methodsin accuracy and contains a much smaller number of parameters (eXnet: 4.57 million, VGG19:14.72 million), making it more efficient and lightweight for real-time systems. Several moderndata augmentation techniques are applied for generalization of eXnet; these techniques improvethe accuracy of the network by overcoming the problem of overfitting while containing the same size. We provide an extensive evaluation of our network against key methods on Facial ExpressionRecognition 2013 (FER-2013), Extended Cohn-Kanade Dataset (CK+), and Real-world Affective Faces Database (RAF-DB) benchmark datasets. We also perform ablation evaluation to show the importance of different components of our architecture. To evaluate the efficiency of eXnet on embedded systems,we  deploy it on Raspberry Pi 4B. All these evaluations show the superiority of eXnet for emotionrecognition in the wild in terms of accuracy, the number of parameters, and size on disk.


 
181 viewsCategory: Chemistry, Physics
 
Sensors, Vol. 20, Pages 1090: SNPL: One Scheme of Securing Nodes in IoT Perception Layer (Sensors)
Sensors, Vol. 20, Pages 1089: Vital Block and Vital Sign Server for ECG and Vital Sign Monitoring in a Portable u-Vital System (Sensors)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics


Copyright © 2008 - 2024 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten