Emotion and Inspiration through Generative AI Art by Cynthia Calongne

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Multiangle Correlation Feature Extraction and Disease Prediction Model Construction for Patients With Post-Stroke Dysarthria by Ting Zhu, Shufei Duan, Huizhi Liang, Fujiang Li, Wei Zhang

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A survey of affective brain-computer interface by Bao-Liang LU, Yaqian ZHANG, Wei-Long ZHENG

Subjects: “…affective computing;affective brain-computer interface;emotion recognition;emotion regulation;multimodal affective brain-computer interface;artificial general intelligence…”
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Museum ExplorAR: Exploring Affect and Electrodermal Activity in a Museum Augmented Reality Application by Jess Hoare

“…Through an interdisciplinary approach to affective computing, affect in heritage studies, and psychology, it problematizes the use of wearable technology in the field of affective computing when working in an open, ambulatory cultural environment. …”
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Brain Activation Differences of Six Basic Emotions Between 2D Screen and Virtual Reality Modalities by Jialan Xie, Ping Lan, Shiyuan Wang, Yutong Luo, Guangyuan Liu

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The artificial intelligence technology for immersion experience and space design in museum exhibition by Liang Lei

“…The model integrates reinforcement learning, computer vision (CV), and affective computing to optimize spatial layout and interactive design, thereby improving both visit efficiency and audience experience. …”
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Frequency-Domain Hybrid Model for EEG-Based Emotion Recognition by Jinyu Liu, Naidan Feng, Yongquan Liang

“…Emotion recognition based on Electroencephalogram (EEG) signals plays a vital role in affective computing and human–computer interaction (HCI). …”
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Analysis of the fusion of multimodal sentiment perception and physiological signals in Chinese-English cross-cultural communication: Transformer approach incorporating self-attenti... by Xin Bi, Tian Zhang

“…This study provides a strong technical foundation for future advancements in multimodal emotion analysis and cross-cultural affective computing.…”
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Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model by Yihang Dong, Changhong Jing, Mufti Mahmud, Michael Kwok-Po Ng, Shuqiang Wang

“…Abstract Affective computing is a key research area in computer science, neuroscience, and psychology, aimed at enabling computers to recognize, understand, and respond to human emotional states. …”
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Dog facial landmarks detection and its applications for facial analysis by George Martvel, Anna Zamansky, Giulia Pedretti, Chiara Canori, Ilan Shimshoni, Annika Bremhorst

“…Abstract Automated analysis of facial expressions is a crucial challenge in the emerging field of animal affective computing. One of the most promising approaches in this context is facial landmarks, which are well-studied for humans and are now being adopted for many non-human species. …”
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Cross-modality fusion with EEG and text for enhanced emotion detection in English writing by Jing Wang, Ci Zhang

“…IntroductionEmotion detection in written text is critical for applications in human-computer interaction, affective computing, and personalized content recommendation. …”
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Staged transfer learning for multi-label half-face emotion recognition by Mohamed M. Abd ElMaksoud, Sherif H. ElGohary, Ahmed H. Kandil

“…Facial emotion recognition (FER) has emerged as a pivotal area of affective computing, enabling accurate detection of human emotions from visual cues. …”
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Emotion Recognition Through Advanced Signal Fusion and Kolmogorov-Arnold Networks by Aung Myo Thant, Thap Panitanarak

“…Emotion recognition is an important aspect of affective computing that has many applications including human computer interaction and mental health care. …”
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Divisibility and Compactness Analysis of Physiological Signals for Sentiment Classification in Body Sensor Network by Wei Wang, Xiaodan Huang

“…Affective computing draws more and more attention to the human-computer interaction. …”
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Improved approximate check polytope projection algorithm of ADMM penalized decoding for LDPC codes in IoTs by Yue Zhao, Biao Wang

“…In this method, Euclidean projection is a key factor affecting computational complexity. Existing projection algorithms require either sorting operation or iterative execution, resulting in greater computational complexity. …”
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Review of Virtual Traffic Simulation and Its Applications by Cui-juan Liu, Zhen Liu, Yan-jie Chai, Ting-ting Liu

“…And then the concept of affective computing is integrated into the traffic simulation, considering the impacts of drivers’ emotion on vehicle driving and it is pointed out that the emotion-driven traffic flow is more authentic. …”
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Changes in Mental State for Help-Seekers of Lifeline Australia’s Online Chat Service: Lexical Analysis Approach by Kelly Mazzer, Sonia Curll, Hakar Barzinjy, Roland Goecke, Mark Larsen, Philip J Batterham, Nickolai Titov, Debra Rickwood

“…The findings highlight the potential for integrating affective computing into crisis helplines to enhance service delivery and outcome measurement. …”
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Audiovisual virtual reality for emotion induction: a dataset of physiological responses by Luz Maria Alonso-Valerdi, Sharon Ramirez-Lechuga, David I. Ibarra-Zarate

“…This dataset can support research on affective computing, human-computer interaction, and emotion recognition.…”
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Enhancing EEG-Based Emotion Detection with Hybrid Models: Insights from DEAP Dataset Applications by Badr Mouazen, Ayoub Benali, Nouh Taha Chebchoub, El Hassan Abdelwahed, Giovanni De Marco

“…Emotion detection using electroencephalogram (EEG) signals is a rapidly evolving field with significant applications in mental health diagnostics, affective computing, and human–computer interaction. However, existing approaches often face challenges related to accuracy, interpretability, and real-time feasibility. …”
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Against Commodification: The University, Cognitive Capitalism and Emergent Technologies by Richard Hall, Bernd Stahl

“…This paper investigates how four specific emergent technologies, namely affective computing, augmented reality, cloud-based systems, and human machine symbiosis, demonstrate how technological innovation nurtured inside the University is commodified and fetishised under cognitive capitalism or immaterial labour, and how it thereby further enables capital to reproduce itself across the social factory. …”
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