Recognition of Emotions for People with Autism: An Approach to Improve Skills by Adilmar Coelho Dantas, Marcelo Zanchetta do Nascimento

“…The software used helps to develop the ability to recognize and express six basic emotions: joy, sadness, anger, disgust, surprise, and fear. Based on the theory of facial action coding systems and digital image processing techniques, it is possible to detect facial expressions and classify them into one of the six basic emotions. …”
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Facial Emotion Recognition in Parkinson's Disease: An fMRI Investigation. by Albert Wabnegger, Rottraut Ille, Petra Schwingenschuh, Petra Katschnig-Winter, Mariella Kögl-Wallner, Karoline Wenzel, Anne Schienle

“…The participants were shown pictures of facial expressions depicting disgust, fear, sadness, and anger and they answered scales for the assessment of affective traits. …”
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From news images to action: the mobilizing effect of emotional protest images in news coverage by Stephanie Geise, Diana Panke, Axel Heck

“…., fascination, interest, sadness, anger, disgust, shame, guilt, and being touched) which increase the image recipients' willingness to participate politically. …”
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The emotions of Chinese netizens toward the opening-up policies for COVID-19: panic, trust, and acceptance by Qiong Dang, Yifei Li, Suping Chen

“…The study found that the proportions of emotions were as follows: Good (46%), Happy (11%), Anger (17%), Disgust (6%), Sadness (10%), Surprise (2%), and Fear (8%). …”
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An android can show the facial expressions of complex emotions by Alexander Diel, Wataru Sato, Chun-Ting Hsu, Alexander Bäuerle, Martin Teufel, Takashi Minato

“…., amusement, appal, awe, boredom, contentment, coyness, hatred, hesitation, moral disgust, not face, pain, sleepiness, suspicion), participants of both samples rated the target emotion above the mean of other non-target emotions. …”
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Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods by Orhan Emre Aksoy, Selda Güney

“…Seven different emotions related to facial expressions were classified in this context; these are listed as happiness, sadness, surprise, disgust, anger, fear and neutral. With the application written in Python programming language, classical machine learning methods such as k-Nearest Neighborhood and Support Vector Machines and deep learning methods such as AlexNet, ResNet, DenseNet, Inception architectures were applied to FER2013, JAFFE and CK+ datasets. …”
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Real-Time Facial Expression Recognition Based on Image Processing in Virtual Reality by Qingzhen Gong, Xuefang Liu, Yongqiang Ma

“…Thus, a Deep Learning (DL) solution combined with image processing is utilized to classify universal emotions: sadness, happiness, disgust, anger, fear and surprise. Hence, this paper suggests the Deep Automatic Facial Expression Recognition Model (DAFERM) for interactive virtual reality (VR) applications such as intelligent education, social networks, and virtual training. …”
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Develop an emotion recognition system using jointly connectivity between electroencephalogram and electrocardiogram signals by Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Keivan Maghooli, Ali Sheikhani

“…We propose a novel method of estimating effective connectivity (EC) to capture the dynamic interplay between the heart and brain during emotions of happiness, disgust, fear, and sadness. Leveraging three EC estimation techniques (Granger causality (GC), partial directed coherence (PDC) and directed transfer function (DTF)), we feed the resulting EC representations as inputs into convolutional neural networks (CNNs), namely ResNet-18 and MobileNetV2, known for their swift and superior performance. …”
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Effects of Subthalamic Nucleus Deep Brain Stimulation on Facial Emotion Recognition in Parkinson’s Disease: A Critical Literature Review by S. Kalampokini, E. Lyros, P. Lochner, K. Fassbender, M. M. Unger

“…The majority of studies, which had clinical and methodological heterogeneity, showed that FER is worsening after STN DBS in PD patients, particularly for negative emotions (sadness, fear, anger, and tendency for disgust). FER worsening after STN DBS can be attributed to the functional role of the STN in limbic circuits and the interference of STN stimulation with neural networks involved in FER, including the connections of the STN with the limbic part of the basal ganglia and pre- and frontal areas. …”
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THE PHENOMENON OF NEGATIVE EMOTIONS IN THE SOCIAL EXISTENCE OF HUMAN by T. S. Pavlova, V. V. Bobyl

“…The ethical emotions of guilt, embarrassment, anger, disgust and contempt can affect, through the cognitive aspect of the emotional process, the decision-making process of people when they predict situations in which they risk to feel such emotions. …”
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Exploring sentiment analysis in handwritten and E-text documents using advanced machine learning techniques: a novel approach by Rayees Ahamad, Kamta Nath Mishra

“…The primary objective of this research work is to distinguish the sentiment polarity and categorize it as positive, negative, or neutral while identifying emotion types such as happiness, sadness, surprise, fear, anger, disgust, and contempt. The study employs sophisticated methodologies to analyze handwritten image documents and E-text statements to provide a comprehensive understanding of sentiment nuances in diverse forms of communication. …”
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Eliciting Emotions: Investigating the Use of Generative AI and Facial Muscle Activation in Children’s Emotional Recognition by Manuel A. Solis-Arrazola, Raul E. Sanchez-Yanez, Ana M. S. Gonzalez-Acosta, Carlos H. Garcia-Capulin, Horacio Rostro-Gonzalez

“…In contrast, for AI-generated images, seven emotions were analyzed, including the previous five plus surprise and disgust. A feature vector is extracted from these images, indicating lengths between reference points on the face that contract or expand based on the expressed emotion. …”
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Attention-enhanced optimized deep ensemble network for effective facial emotion recognition by Taimoor Khan, Muhammad Yasir, Chang Choi

“…Finally, we integrated fully connected (FC) layers to accurately classify facial emotions (anger, disgust, fear, happy, neutral, sad, and surprise). …”
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Prospective evaluation through questionnaires of the emotional status of cancer patients in the waiting rooms of a department of oncology by Roberta Resega, Sheila Piva, Annalisa Bramati, Christian Lurati, Nicla La Verde, Marco Riva, Marina Chiara Garassino, Anna Moretti, Claudio Mencacci, Valter Torri, Gabriella Farina, Maria Chiara Dazzani

“…In another section, patients were asked to choose their prevailing primary emotions: joy, fear, sadness, anger, disgust or surprise. Results: Two hundred eighty questionnaires were considered valid for statistical analysis. …”
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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…A hybrid ANN-GA model that uses Petri Nets and production systems is proposed for the real-time video sequence analysis with high precision in predicting different dynamic facial activities of anger, surprise, disgust, joy, sadness and fear from emotion faces. …”
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Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study by Daphna Y Spiegel, Isabel D Friesner, William Zhang, Travis Zack, Gianna Yan, Julia Willcox, Nicolas Prionas, Lisa Singer, Catherine Park, Julian C Hong

“…Anger, annoyance, disappointment, disgust, and joy increased for BCS over time. …”
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Public Health Messaging on Twitter During the COVID-19 Pandemic: Observational Study by Ashwin Rao, Nazanin Sabri, Siyi Guo, Louiqa Raschid, Kristina Lerman

“…Pseudoexperts often used negative emotions of pessimism and disgust, while limiting positive emotional language to origins and therapeutics (P<.001). …”
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The History of Miss Jane Pittman by Christopher Mulvey

“…He called his last work My Southern Home, and he was never at home in the North. To his dismay and disgust when he reached Ohio and freedom in 1834, he found a physical hatred of blacks that he had not experienced in the slave states. …”
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Wisdom of the Established Pattern by Joel Janhonen

“…In his well-known bioethical writing on repugnance, Leon Kass defended the value of disgust that is experienced over perceived violations against nature.[2] He argued that this emotional impulse is an expression of nature’s wisdom, a deeper understanding of the world that human reason is unable to fully articulate. …”
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Neural Correlates of Social Perception Deficit in Schizophrenia: An Event-related Potential Study by Jiang-juan Li, Xin-ping Li, Jia-min Han, Yi-fan Sun, Xiao-hong Liu, Xue-zheng Gao, Li-min Chen, Zhen-he Zhou, Hong-liang Zhou

“…Additionally, schizophrenia patients had lower accuracy than the HCs for disgusted faces, surprised faces, angry faces, and fearful faces. …”
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