NDLI: Data mining in emotion color with affective computing

Content Provider	Springer Nature Link
Author	Lee, Min Feng Chen, Guey Shya Hung, Jason C. Lin, Kuan Cheng Wang, Jen Chieh
Copyright Year	2014
Abstract	This research applies an innovative way to measure and identify user’s emotion with different ingredient color. How to find an intuitive way to understand human emotion is the key point in this research. The RGB color system that is widely used of all forms computer system is an accumulative color system in which red, green, and blue light are added together showing entire color. This study was based on Thayer’s emotion model which classifies the emotions with two vectors, valence and arousal, and gathers the emotion color with RGB as input for calculating and forecasting user’s emotion. In this experiment, using 320 data divide to quarter into emotion groups to train the weight in the neural network and uses 160 data to prove the accuracy. The result reveals that this model can be valid reckon the emotion by reply color response from user. In other hand, this experiment found that trend of the different ingredient of color on Cartesian coordinate system figures out the distinguishing intensity in RGB color system. Via the foregoing detect emotion model is going to design an affective computing intelligence framework try to embed the emotion component in it.
Starting Page	15185
Ending Page	15198
Page Count	14
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	75
Issue Number	23
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2014-08-23
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Data mining Affective computing FCM Neural network Detecting emotion Color Emotion classification Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Affective social network—happiness inducing social media platform

Error-correcting output codes for multi-label emotion classification

Social media mining and search

Real-time multimedia computing

Music emotion classification and context-based music recommendation

Synthesis of Color Textures for Multimedia Applications

Cloud-assisted hugtive robot for affective interaction

SOM and fuzzy based color image segmentation

HiMotion: a new research resource for the study of behavior, cognition, and emotion

Data mining in emotion color with affective computing

Similar Documents

Affective social network—happiness inducing social media platform

Error-correcting output codes for multi-label emotion classification

Social media mining and search

Real-time multimedia computing

Music emotion classification and context-based music recommendation

Synthesis of Color Textures for Multimedia Applications

Cloud-assisted hugtive robot for affective interaction

SOM and fuzzy based color image segmentation

HiMotion: a new research resource for the study of behavior, cognition, and emotion

Data mining in emotion color with affective computing