Name
Abstract | ||
|---|---|---|
Emotion-based behavior includes information about the audience's emotions and feelings. To analysis audience's behavior allows us to predict emotional state of the audience, and enable to easily understand the feeling of being each other's feelings, knowledge, and information. To recognize the real human emotions, the emotions are recognized through a variety of biological signals rather than only a specific signal. Thus, research is needed to analyze biological signals using a variety of techniques and sensors. Therefore, in this study, we would construct the emotion prediction model in two ways using emotion-specific behaviors, and compare its performance. The proposed model consists of three steps. 1) Collect audience images by camera as five emotional stimuli, 2) Extract characteristics of emotional behavior using difference image technique, and 3) construct emotion prediction model in two ways and compare its performance. It is expected that the proposed model constructed in this study will be able to identify the characteristics of the audience behavior and suggest more effective ways of interacting with the audience. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICISA.2013.6579443 | Information Science and Applications |
Keywords | Field | DocType |
behavioural sciences computing,emotion recognition,audience behavior,audience emotional state,audience emotions,audience feelings,biological signal analysis,emotion based behavior,emotion prediction model,emotional behavior,emotional stimuli,human emotions,predictive models,feature extraction,human computer interaction | Emotion recognition,Computer science,Feature extraction,Human–computer interaction,Affective science,Multimedia,Feeling | Conference |
ISSN | ISBN | Citations |
2162-9048 | 978-1-4799-0602-4 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eun Chung Ryoo | 1 | 0 | 0.34 |
| Seung-Bo Park | 2 | 69 | 7.90 |
| Jae Kyeong Kim | 3 | 1011 | 52.32 |