Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings by Elina Lesyk, Tomás Arias-Vergara, Elmar Nöth, Andreas Maier, Juan Rafael Orozco-Arroyave, Paula Andrea Perez-Toro

Subjects: “…Speech emotion recognition…”
Get full text

Facial expression recognition using singular values and wavelet‐based LGC‐HD operator by Durga G. Rao Kola, Srinivas K. Samayamantula

Subjects: “…emotion recognition…”
Get full text

A Comprehensive Analysis of a Social Intelligence Dataset and Response Tendencies Between Large Language Models (LLMs) and Humans by Erika Mori, Yue Qiu, Hirokatsu Kataoka, Yoshimitsu Aoki

Subjects: Get full text

Classification of Speech Emotion State Based on Feature Map Fusion of TCN and Pretrained CNN Model From Korean Speech Emotion Data by A-Hyeon Jo, Keun-Chang Kwak

Subjects: Get full text

Cognitive-cultural, individual-psychological and age particularities of the ability to recognize emotions by Ekaterina Hvorova

Subjects: “…emotion recognition…”
Get full text

Enhanced Emotion-Aware Conversational Agent: Analyzing User Behavioral Status for Tailored Reponses in Chatbot Interactions by S. Abinaya, K. S. Ashwin, A. Sherly Alphonse

Subjects: Get full text

Situation Analytics and Model-based User Interface Development: A Synergetic Approach for Building Runtime-Adaptive Business Applications by Christian Märtin, Felix Kampfer, Christian Herdin, Lionnelle Biawan Yameni

Subjects: Get full text

Algorithm development for recognizing human emotions using a convolutional neural network based on audio data by V. V. Semenuk, M. V. Skladchikov

Subjects: Get full text

Improvement of Student Weariness Emotion in English Classroom Based on Intelligent Internet of Things and Big Data Technology by Ya Pang

“…Finally, this paper constructs an emotion recognition model of students’ weariness in English classroom. …”
Get full text

Social Media Public Opinion Detection Using Multimodal Natural Language Processing and Attention Mechanisms by Yanxia Dui, Hongchun Hu

“…Compared to other mainstream multimodal emotion recognition methods, the proposed model shows significant improvements in all metrics. …”
Get full text

Severity of Emotional Maladaptation and Ability to Recognize Emotions in Patients with Facial Nerve Damage by A.A. Rakhmanina, A.B. Kholmogorova, L.B. Zavaliy

“…The results of studies of emotion recognition in patients with facial nerve damage are contradictory and do not take into account other factors that may affect the recognition process. …”
Get full text

Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction by Gregor Kohls, Erik M. Elster, Peter Tino, Graeme Fairchild, Christina Stadler, Arne Popma, Christine M. Freitag, Stephane A. De Brito, Kerstin Konrad, Ruth Pauli

“…Abstract Background Theoretical models of conduct disorder (CD) highlight that deficits in emotion recognition, learning, and regulation play a pivotal role in CD etiology. …”
Get full text

Responsible Design, Integration, and Use of Generative AI in Mental Health by Oren Asman, John Torous, Amir Tal

“…It brings together evidence and insights on GenAI’s capabilities, such as emotion recognition, therapy-session summarization, and risk assessment, while highlighting the sensitive nature of mental health data and the need for rigorous validation. …”
Get full text

Automatic detection of expressed emotion from Five-Minute Speech Samples: Challenges and opportunities. by Bahman Mirheidari, André Bittar, Nicholas Cummins, Johnny Downs, Helen L Fisher, Heidi Christensen

“…Research into clinical applications of speech-based emotion recognition (SER) technologies has been steadily increasing over the past few years. …”
Get full text

Biterm topic model of social network users’ sentiment by integrating word co-occurrence by Qiuyang GU, Bao WU, Chunhua JU

“…With the increasing number of social network users in recent years,text-based user sentiment analysis technology has been widely concerned and applied.However,data sparsity and low accuracy often reduce the accuracy and speed of emotion recognition methods.The user emotion Biterm topic model (US-BTM) was proposed which could find user preference and emotional tendency from the text of specific places,so as to effectively use Biterm for topic modeling.The strategy of user aggregation to form pseudo-documents was used,and word pairs were created for the whole corpus to solve the problems of data sparsity and short text.Then the topic was studied through the lexical co-occurrence model,so as to infer the topic with abundant corps-level information,and the purpose of accurately predicting the user’s interest,preference and emotion to the specific scene was achieved by analyzing the lexical matching set in the comment corpus under the specific scene and the emotion of the corresponding topic.The experimental results show that the method proposed can accurately capture users’ emotional tendency and correctly reveal users’ preference,which can be widely used in social network content description,recommendation,social network user interest description,semantic analysis and other fields.…”
Get full text

An Empirical Analysis of the Role of Piano Performance in Alleviating Psychological Trauma in People with Psychological Isolation Disorder by Xia Cao

“…In this paper, we designed a music modulation system based on EEG signals of people with isolation disorder and designed an interface with real-time emotion recognition. MATLAB is responsible for data processing and classification, while Python is responsible for communication and real-time transmission between modules, EEG signal collection, and processing. …”
Get full text

Improving Access Trust in Healthcare Through Multimodal Deep Learning for Affective Computing by I. Sakthidevi, G. Fathima

“…The study emphasizes the importance of emotion recognition and understanding in healthcare settings. …”
Get full text

Vivid Face Perception as a Constructive Component of Multimodal Affective States by V.A. Barabanschikov, E.V. Suvorova

“…The study is based on the Russian-language version of the Geneva Emotion Recognition Test (GERT) and consists of two series. …”
Get full text

A Recognition Method of Athletes’ Mental State in Sports Training Based on Support Vector Machine Model by Yu Li

“…The experimental results show that the accuracy rate of emotion recognition obtained by this method is more than 80%. …”
Get full text

Analysis of Emotional Deconstruction and the Role of Emotional Value for Learners in Animation Works Based on Digital Multimedia Technology by Shilei Liang

“…The intelligent completion of emotional expression identification within animation works holds immense significance for both animation production learners and the creation of intelligent animation works. Consequently, emotion recognition has emerged as a focal point of research attention. …”
Get full text