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  1. Aug 22, 2023 · Facial Emotion Recognition (FER) refers to the process of identifying and categorizing human emotions based on facial expressions. By analyzing facial features and patterns, machines can make educated guesses about a person’s emotional state.

  2. May 22, 2024 · Emotion detection, also known as facial emotion recognition, is a fascinating field within the realm of artificial intelligence and computer vision. It involves the identification and interpretation of human emotions from facial expressions.

  3. Feb 18, 2020 · With the recent advancement in computer vision and machine learning, it is possible to detect emotions from images. In this paper, we propose a novel technique called facial emotion recognition using convolutional neural networks (FERC).

  4. Jun 23, 2024 · This study expands the use of deep learning for facial emotion recognition (FER) based on Emognition dataset that includes ten target emotions: amusement, awe, enthusiasm, liking, surprise,...

  5. Jun 26, 2024 · Facial emotion recognition (FER) represents a significant outcome of the rapid advancements in artificial intelligence (AI) technology. In today's digital era, the ability to decipher emotions from facial expressions has evolved into a fundamental mode of human interaction and communication.

  6. Oct 13, 2023 · Abstract. The importance of facial expressions in nonverbal communication is significant because they help better represent the inner emotions of individuals. Emotions can depict the state of health and internal wellbeing of individuals. Facial expression detection has been a hot research topic in the last couple of years.

  7. Nov 15, 2023 · Facial emotion recognition represents an intersection of artificial intelligence and human psychology. The ability to detect facial expressions not only holds immense value in...

  8. Feb 1, 2024 · Recently, emotion recognition has gained attention because of its diverse application areas, like affective computing, healthcare, human–robot interactions, and market research. This paper provides a comprehensive and systematic review of emotion recognition techniques of the current decade.

  9. In this project, in order to detect the live emotions from the human facial gesture, we will be using an algorithm that allows the computer to automatically detect the facial recognition of human emotions with the help of Convolution Neural Network (CNN) and OpenCV.

  10. Human Emotion Detection Using DeepFace and Artificial Intelligence †. by. Ramachandran Venkatesan. 1, Sundarsingh Shirly. 1, Mariappan Selvarathi. 2 and. Theena Jemima Jebaseeli. 1,* Division of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore 641114, India. 2.