Design and implementation of the image-based group emotion detector
| Autor: | Sheng-Ting Huang, Shih-Pang Tseng, Jui-Le Chen, Qi-Wen Gung, Jun-Ying Chen, Qi-Chen Ye |
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| Rok vydání: | 2017 |
| Předmět: |
Point (typography)
Group emotion Computer science Group (mathematics) Speech recognition 05 social sciences Feature extraction Detector 050109 social psychology 02 engineering and technology computer.software_genre Social group Interval (music) Videoconferencing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences computer |
| Zdroj: | 2017 International Conference on Orange Technologies (ICOT). |
| Popis: | Group emotion refers to the emotions of a group of people in a specified space and time interval. It is the result of the interactions among the people and the environment. Group emotion is the group's dynamic processes, and can be seen as the sum of the individuals' emotional states. In practice, the group emotion detection has various applications, such as e-learning systems and video conferencing. In this paper, we proposed a the group emotion detector is based on the multi-level smile detection algorithm. According to the bottom-up view point, the group emotion is defined as the average of the smile degrees on this group of people. The whole system is implemented on the Raspberry Pi board for the compactness and mobility. The implementation shows this approach is with availability in practice. The experimental basically result shows the effectiveness of the Group Emotion Detector. |
| Databáze: | OpenAIRE |
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