Author : Sunny Desai
Publisher :
ISBN 13 :
Total Pages : 58 pages
Book Rating : 4.:/5 (124 download)
Book Synopsis Comparing SVM Libraries to Detect a Computer User's Emotion from Physiological Data by : Sunny Desai
Download or read book Comparing SVM Libraries to Detect a Computer User's Emotion from Physiological Data written by Sunny Desai and published by . This book was released on 2016 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-computer interactions result in psychological effects on human behavior. The analysis of the human behavior can be done using physiological data of a user in intense emotional states. A user may have intense emotions, which could make the user more nervous, sad or aggressive. The thesis shows how physiological data can be used to analyze user's emotional state and summarizes the findings of using two machine learning libraries to learn the user's emotional states. The thesis demonstrates how information is extracted from the test data and how to determine the best results based on a comparison between the accuracy outcomes from using different configurations and machine learning libraries. The thesis also discusses how to set up a test for a large dataset and choose an appropriate machine learning approach. The outcome will be helpful to analyze and understand about how to train the models with the given dataset. Results of this study can be utilized for future research and applications for mitigating the effects of the content on user's emotions.