Child_Emotion_Level_Analyzer
所属分类：模式识别(视觉/语音等)
开发工具：Others
文件大小：0KB
下载次数：0
上传日期：2024-04-24 20:59:28
上 传 者：
sh-1993
说明： This is an Undergraduate research done with the objectives of Automatically Identifying the AU stimulation of children on their facial expressions, Development of AU based models to analyaze the varying emotion levels of children in videos and analysis and prediction of emotion levels based on varying age categories of children
文件列表:
2022-072_IT19080840_FinalThesis.docx
Automated Analysis of Children Emotion Expression levels.pptx
IT19080840.zip
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EMOTION LEVEL ANALYZER
Backend management consists of:
1. Openface toolkit manipulation - MMSA FET
2. EFA based AU seperation.
3. AU based K means clustering.
4. Emotion level Machine learning algorithms based on Age - KNN, SVM, RF
5. Models trained with Age variation. (pkl files included - RF is the best model)
6. Classifier predicting codes to test a video.
# Execute Program with the following command
python main.py --mode video --input \Video\S1_happy_1.mp4 --age 1
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