Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2023
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866913458965970944 |
|---|---|
| author | Ghosh, Shreya Cai, Zhixi Gupta, Parul Sharma, Garima Dhall, Abhinav Hayat, Munawar Gedeon, Tom |
| author_facet | Ghosh, Shreya Cai, Zhixi Gupta, Parul Sharma, Garima Dhall, Abhinav Hayat, Munawar Gedeon, Tom |
| contents | Automatic group emotion recognition plays an important role in understanding complex human-human interaction. This paper introduces, Emolysis, a Python-based, standalone open-source group emotion analysis toolkit for use in different social situations upon getting consent from the users. Given any input video, Emolysis processes synchronized multimodal input and maps it to group level emotion, valence and arousal. Additionally, the toolkit supports major mobile and desktop platforms (Android, iOS, Windows). The Emolysis platform also comes with an intuitive graphical user interface that allows users to select different modalities and target persons for more fine-grained emotion analysis. Emolysis is freely available for academic research and encourages application developers to extend it to application specific environments on top of the existing system. We believe that the extension mechanism is quite straightforward. Our code models and interface are available at https://github.com/ControlNet/emolysis. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_05255 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit Ghosh, Shreya Cai, Zhixi Gupta, Parul Sharma, Garima Dhall, Abhinav Hayat, Munawar Gedeon, Tom Human-Computer Interaction Automatic group emotion recognition plays an important role in understanding complex human-human interaction. This paper introduces, Emolysis, a Python-based, standalone open-source group emotion analysis toolkit for use in different social situations upon getting consent from the users. Given any input video, Emolysis processes synchronized multimodal input and maps it to group level emotion, valence and arousal. Additionally, the toolkit supports major mobile and desktop platforms (Android, iOS, Windows). The Emolysis platform also comes with an intuitive graphical user interface that allows users to select different modalities and target persons for more fine-grained emotion analysis. Emolysis is freely available for academic research and encourages application developers to extend it to application specific environments on top of the existing system. We believe that the extension mechanism is quite straightforward. Our code models and interface are available at https://github.com/ControlNet/emolysis. |
| title | Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2305.05255 |