| Autor: |
Tivan Varghese George, Hye Soo Park, Uichin Lee |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
SoftwareX, Vol 27, Iss , Pp 101827- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2352-7110 |
| DOI: |
10.1016/j.softx.2024.101827 |
| Popis: |
Conversational video data are widely used to analyze social interaction patterns in various fields, such as social-emotional learning. However, current video processing technologies for social and emotional analysis lack unified feature extraction from video data and video overlays for feature visualization. This paper introduces FT Xtraction to address such limitations. For unified feature extraction, FT Xtraction extracts key base features, such as facial emotion, facial landmarks, and pose keypoints, which are then used to extract derived features such as emotion entropy/synchronicity, pose synchronicity, and physical activeness. FT Xtraction supports video overlay-based feature visualization that allows researchers to examine video data along with extracted features. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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