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Survey Paper on Fine-Grained Facial Expression Recognition using Machine Learning
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 183 - Number 11 |
| Year of Publication: 2021 |
| Authors: Gunjal Vaishnavi, Gavane Shraddha, Joshi Yogeshwari |
10.5120/ijca2021921427
|
Gunjal Vaishnavi, Gavane Shraddha, Joshi Yogeshwari . Survey Paper on Fine-Grained Facial Expression Recognition using Machine Learning. International Journal of Computer Applications. 183, 11 ( Jun 2021), 47-49. DOI=10.5120/ijca2021921427
Abstract
A computer to monitor emotions that can assess fundamental speech of the human face. This research proposes a mood forecast based on emotions of the human face. The instrument to detect the human mood and to play an audio file with this effect that refers to human emotions. Next, the computer takes the human face as its input, so another move is taken. The face and eye are identified. This is done. The human face is then recognized by the technique of extraction of the attributes. In this way, a face picture feature recognizes the emotion of the individual. The lips, mouth and eyes and the eyebrow extract these signature marks. If the emotional face matches the emotional dataset exactly, the exact emotions of people can be defined to play the audio-file with the emotional details. Training on a limited number of faces would be recognized in different environmental circumstances. The proposed solution is quick, efficient and accurate. The machine plays an increasingly important part in the field of identification and detection.
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