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- W4313006088 abstract "Artificial Intelligence (AI) and Machine Learning (ML) have various important areas of work and research and emotion recognition is one of them. So, as to determine a human’s facial expression, the system or platform, should analyze and extract the assorted variations of human faces like Color, Shape, Expressions, Appearance, Orientation and Brightness etc. A huge number of algorithms and techniques have been computed and executed to do this thing, on various static or non-static, equal foundation, distinct postures, comparable expressions and non-partisan front face. The objectives of Facial emotion recognition are the scanning and extracting the data and accordingly giving accurate results in real-time. The proposed work is predicated on AI – ML, we will use FER-2013 dataset to train the model and we will use our own reference pictures to increase the accuracy, along with other libraries and skill-sets. Our target is to achieve accuracy above 90%. This proposed project detects the various emotions of human such as: Happy, Sad, Anger, Neutral and Surprise." @default.
- W4313006088 created "2023-01-05" @default.
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- W4313006088 date "2022-10-08" @default.
- W4313006088 modified "2023-09-26" @default.
- W4313006088 title "Implementation of AI/ML for Human Emotion Detection using Facial Recognition" @default.
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- W4313006088 doi "https://doi.org/10.1109/icccmla56841.2022.9989091" @default.
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