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@article{151964,
        author = {Vivek  and Tarun Jamloki and Shubham Kumar Singh and Deepu Kumar},
        title = {Mood Detection By Image Processing},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {2},
        pages = {46-49},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151964},
        abstract = {Facial emotion recognition will definitely become vitally important in the coming  future. However, the recognition of facial emotions is mainly addressed by computer vision , based on facial display and image. Also detection of vocal expressions of emotions can be found in research works done by acoustic research workers. Most of these research paradigms are purely visual or purely to auditory emotion detection. However we found that it is very interesting to consider these auditory and visual information together, for processing and providing results, since we hope this kind of multi-modal information processing will become a datum of information processing in future era.And by several intensive subjective evaluation studies we found that human beings recognise anger, happiness, surprise and dislike by their visual appearance, compared to voice only detection. When the audio track of each emotion clip is dubbed with a different type of auditory emotional expression, anger, happiness and surprise were dominant. In both studies we found that sadness and fear emotions were all audio dominant. As a conclusion, we propose a method of facial emotion detection by using a approach, which uses multi-modal information for facial emotion recognition.},
        keywords = {Computer Vision, Deep Learning, Face Recognition,Emotion Recognition},
        month = {},
        }