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Survey of Approaches for Building Emotion Detection Applications using a Multi-modal Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 179 - Number 37 |
| Year of Publication: 2018 |
| Authors: Siddhesh More, Shruti Subramanyam, Kalyani Reddy, Komal Patil, Archana Chaugule |
10.5120/ijca2018916849
|
Siddhesh More, Shruti Subramanyam, Kalyani Reddy, Komal Patil, Archana Chaugule . Survey of Approaches for Building Emotion Detection Applications using a Multi-modal Approach. International Journal of Computer Applications. 179, 37 ( Apr 2018), 18-20. DOI=10.5120/ijca2018916849
Abstract
Emotion detection of users is a challenging and exciting field where user’s data is analyzed to recognize emotions such as happy, sad, angry etc. This data could be in one or multiple formats such as audio, video, text, still images etc. Relevant features are extracted and fused together to give a label. Fusing data from two or more sources(modalities) is another challenge, feature level or decision level fusion is employed. This paper inspects and studies the various approaches to multi-modal extraction of emotions.
References
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