Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction
Cultural Specific Effects on the Recognition of Basic Emotions: A Study on Italian Subjects
USAB '09 Proceedings of the 5th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for e-Inclusion
Detecting Facial Expressions for Monitoring Patterns of Emotional Behavior
International Journal of Monitoring and Surveillance Technologies Research
| Hi-index | 0.00 |
"There are million individuals with disabilities with traumatic emotional experiences due to their health issues leading to frustration and depression, where a major factor for it is their emotional behavior". Emotion is a topic that has received much attention during the last few years, both in the context of speech synthesis, image understanding as well as in automatic speech recognition, interactive dialogues systems and wearable computing. There are few promising studies [104,105] on the emotional behavior of people with disabilities. These studies are partial due to the lack of Information Technology and Engineering (ITE) techniques that make available a deeper and large scale non-invasive analysis and evaluation of the disabled people emotional behavior in order to provide tools and support for helping them to overcome social and health barriers. A quantitative and qualitative study of emotional invariant meta-features to support the development of emotionally rich manmachine interfaces (interactive dialogue systems and intelligent avatars) for people with disabilities is the subject of this paper.