MyJournals Home  

RSS FeedsSensors, Vol. 19, Pages 1897: Recognition of Emotion Intensities Using Machine Learning Algorithms: A Comparative Study (Sensors)


21 april 2019 11:00:14

Sensors, Vol. 19, Pages 1897: Recognition of Emotion Intensities Using Machine Learning Algorithms: A Comparative Study (Sensors)

Over the past two decades, automatic facial emotion recognition has received enormous attention. This is due to the increase in the need for behavioral biometric systems and human–machine interaction where the facial emotion recognition and the intensity of emotion play vital roles. The existing works usually do not encode the intensity of the observed facial emotion and even less involve modeling the multi-class facial behavior data jointly. Our work involves recognizing the emotion along with the respective intensities of those emotions. The algorithms used in this comparative study are Gabor filters, a Histogram of Oriented Gradients (HOG), and Local Binary Pattern (LBP) for feature extraction. For classification, we have used Support Vector Machine (SVM), Random Forest (RF), and Nearest Neighbor Algorithm (kNN). This attains emotion recognition and intensity estimation of each recognized emotion. This is a comparative study of classifiers used for facial emotion recognition along with the intensity estimation of those emotions for databases. The results verified that the comparative study could be further used in real-time behavioral facial emotion and intensity of emotion recognition. Digg Facebook Google StumbleUpon Twitter
55 viewsCategory: Chemistry, Physics
Sensors, Vol. 19, Pages 1884: An Interoperable Access Control Framework for Diverse IoT Platforms Based on OAuth and Role (Sensors)
Sensors, Vol. 19, Pages 1895: Optimization of a Piezoelectric Energy Harvester and Design of a Charge Pump Converter for CMOS-MEMS Monolithic Integration (Sensors)
blog comments powered by Disqus
The latest issues of all your favorite science journals on one page


Register | Retrieve



Use these buttons to bookmark us: Digg Facebook Google StumbleUpon Twitter

Valid HTML 4.01 Transitional
Copyright © 2008 - 2019 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Travel Photos Nachrichten Indigonet Finances Leer Mandarijn