Title
Hybrid approach for automatic evaluation of emotion elicitation oriented to people with intellectual disabilities
Abstract
People with intellectual disabilities and elderly need physical and intellectual support to ensuring independent living This is one of the main issues in applying Information and Communication Technology (ICT) into Assistive Technology field In this sense the development of appropriated Intelligent Systems (ISs) offers new perspectives to this community In our project a new IS system (LAGUNTXO) which adds user affective information oriented to people with intellectual disabilities has been developed The system integrates a Human Emotion Analysis System (HEAS) which attempts to solve critical situations for this community as block stages In the development of the HEAS one of the critical issues was to create appropriated databases to train the system due to the difficulty to simulate pre-block stages in laboratory Finally a films and real sequences based emotion elicitation database was created The elicitation material was categorized with more actual features based on discrete emotions and dimensional terms (pleasant, unpleasant) Classically the evaluation is carried out by a specialist (psychologist) In this work we present a hybrid approach for Automatic Evaluation of Emotion Elicitation databases based on Machine Learning classifiers and K-means clustering The new categorization and the automatic evaluation show a high level of accuracy with respect to others methodologies presented in the literature.
Year
DOI
Venue
2010
10.1007/978-3-642-13769-3_35
HAIS (1)
Keywords
Field
DocType
communication technology,emotion elicitation databases,automatic evaluation,emotion elicitation,critical issue,new categorization,hybrid approach,new perspective,human emotion analysis system,intellectual support,assistive technology field,intellectual disability,management system,machine learning,information and communication technology,k means clustering,system integration
Categorization,Intelligent decision support system,Computer science,Information and Communications Technology,Artificial intelligence,Affect (psychology),Cluster analysis,Independent living,Machine learning
Conference
Volume
ISSN
ISBN
6076
0302-9743
3-642-13768-7
Citations 
PageRank 
References 
1
0.43
6
Authors
4
Name
Order
Citations
PageRank
Raquel Martínez112615.61
K. López De Ipiña2205.23
Eloy Irigoyen33814.23
N. Asla421.12