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1. www.sciencedirect.com › science › articleEmotion recognition and artificial intelligence: A systematic ...

   www.sciencedirect.com › science › article

   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.

2. www.geeksforgeeks.org › emotion-detection-usingEmotion Detection Using Convolutional Neural Networks (CNNs)

   www.geeksforgeeks.org › emotion-detection-using

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   May 22, 2024 · Learn how to use CNNs to identify and interpret human emotions from facial expressions. Follow the steps to build, train, and test an emotion detection model using Keras and TensorFlow libraries.

3. en.wikipedia.org › wiki › Emotion_recognitionEmotion recognition - Wikipedia

   en.wikipedia.org › wiki › Emotion_recognition

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   Emotion recognition is probably to gain the best outcome if applying multiple modalities by combining different objects, including text (conversation), audio, video, and physiology to detect emotions. Emotion recognition in text. Text data is a favorable research object for emotion recognition when it is free and available everywhere in human life.

4. www.nature.com › articles › s41598/024/65276-xImage-based facial emotion recognition using convolutional ...

   www.nature.com › articles › s41598/024/65276-x

   Jun 23, 2024 · Detecting emotions from facial images is difficult because facial expressions can vary significantly. Previous research on using deep learning models to classify emotions from facial images has ...

5. www.ncbi.nlm.nih.gov › pmc › articlesHuman Emotion Recognition: Review of Sensors and Methods

   www.ncbi.nlm.nih.gov › pmc › articles

   Jan 21, 2020 · Abstract. Automated emotion recognition (AEE) is an important issue in various fields of activities which use human emotional reactions as a signal for marketing, technical equipment, or human–robot interaction. This paper analyzes scientific research and technical papers for sensor use analysis, among various methods implemented or researched.

   • Author: Andrius Dzedzickis, Artūras Kaklauskas, Vytautas Bucinskas
   • DOI: 10.3390/s20030592

   • Publish Year: 2020
   • Publication: Sensors (Basel). 2020 Feb; 20(3): 592.

6. link.springer.com › article › 10Machine learning for human emotion recognition: a ... - Springer

   link.springer.com › article › 10

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   Feb 20, 2024 · This article surveys the state-of-the-art methods for automated human emotion recognition (AHER) using various modalities such as facial expressions, speech, text, and biosignals. It also evaluates the techniques, challenges, and future directions for AHER research.

7. People also ask

   What is emotion detection?

   • 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.

   Emotion Detection Using Convolutional Neural Networks (CNNs)

   www.geeksforgeeks.org/emotion-detection-using-convolutional-neural-networks-cnns/

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   How do we detect emotions?

   • The model presented in this research [ 70] detects emotions (anger, disgust, happiness, fear, sadness, surprise, neutral) using upper body movements (hand and head movements) and facial expressions. Tasks like mood and gesture recognition can be easily detected using face features and movement vectors once this correlation has been mapped.

   Machine learning for human emotion recognition: a ... - Springer

   link.springer.com/article/10.1007/s00521-024-09426-2

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   What is accurate emotion detection?

   • Accurate emotion detection has numerous practical applications, including human-computer interaction, customer feedback analysis, and mental health monitoring. Convolutional Neural Networks (CNNs) have emerged as a powerful tool in this domain, revolutionizing the way we understand and process emotional cues from images.

   Emotion Detection Using Convolutional Neural Networks (CNNs)

   www.geeksforgeeks.org/emotion-detection-using-convolutional-neural-networks-cnns/

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8. www.nature.com › articles › s41598/021/86345-5Emotion detection using electroencephalography signals and a ...

   www.nature.com › articles › s41598/021/86345-5

   Mar 29, 2021 · Recognizing emotions using biological brain signals requires accurate and efficient signal processing and feature extraction methods. Existing methods use several techniques to extract useful ...