Affective Computing for Learning in Education: A Systematic Review and Bibliometric Analysis by Rajamanickam Yuvaraj, Rakshit Mittal, A. Amalin Prince, Jun Song Huang

Subjects: “…affective computing…”
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Improving Access Trust in Healthcare Through Multimodal Deep Learning for Affective Computing by I. Sakthidevi, G. Fathima

Subjects: “…Affective computing…”
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Incorporating Multimodal Directional Interpersonal Synchrony into Empathetic Response Generation by Jingyu Quan, Yoshihiro Miyake, Takayuki Nozawa

Subjects: “…affective computing…”
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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

Subjects: “…Affective computing…”
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Bayesian Inference of Hidden Cognitive Performance and Arousal States in Presence of Music by Saman Khazaei, Md Rafiul Amin, Maryam Tahir, Rose T. Faghih

Subjects: “…Affective computing…”
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Editorial: Exploring the emotional landscape: cutting-edge technologies for emotion assessment and elicitation by Ivonne Angelica Castiblanco Jimenez, Federica Marcolin, Enrico Vezzetti, Javier Marín Morales, Alessia Celeghin

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SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

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Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers by Camilo E. Valderrama, Camilo E. Valderrama, Anshul Sheoran

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m_AutNet–A Framework for Personalized Multimodal Emotion Recognition in Autistic Children by Asha Kurian, Shikha Tripathi

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A Marked Point Process Approach for Continuous Valence Estimation Using Respiration Activity by Revanth Reddy, Rose T. Faghih

Subjects: “…Affective computing…”
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Socially interactive industrial robots: a PAD model of flow for emotional co-regulation by Fabrizio Nunnari, Dimitra Tsovaltzi , Matteo Lavit Nicora , Matteo Lavit Nicora , Sebastian Beyrodt , Pooja Prajod , Lara Chehayeb , Ingrid Brdar , Antonella Delle Fave , Luca Negri , Elisabeth André, Patrick Gebhard , Matteo Malosio 

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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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Speech Emotion Recognition Model Based on Joint Modeling of Discrete and Dimensional Emotion Representation by John Lorenzo Bautista, Hyun Soon Shin

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Editorial: Recent applications of noninvasive physiological signals and artificial intelligence by Irma N. Angulo, Eduardo Iáñez, Andres Ubeda

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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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Benefits of Subliminal Feedback Loops in Human-Computer Interaction by Walter Ritter

“…In this paper, we briefly present work in the fields of subliminal perception and affective computing, before we outline a new approach to add analog communication channels to the human-computer interaction experience. …”
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CaRo 2.0: An Interactive System for Expressive Music Rendering by Sergio Canazza, Giovanni De Poli, Antonio Rodà

“…., Music Information Retrieval, as well as several applications in the affective computing field). In this paper, we present an original approach to modify the expressive content of a performance in a gradual way, applying a smooth morphing among performances with different expressive content in order to adapt the audio expressive character to the user’s desires. …”
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Emotion Recognition from EEG Signals Using Advanced Transformations and Deep Learning by Jonathan Axel Cruz-Vazquez, Jesús Yaljá Montiel-Pérez, Rodolfo Romero-Herrera, Elsa Rubio-Espino

“…Affective computing aims to develop systems capable of effectively interacting with people through emotion recognition. …”
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Artificial Intelligence and Social-Emotional Learning: what relationship? by Rosa Indellicato

“…This contribution aims to answer these questions, highlighting opportunities and risks that the digital revolution and affective computing pose today. Material and methods In order to explore the relationship between artificial intelligence (AI) and Social-Emotional Learning (SEL), a multidisciplinary approach combining technological and psycho-pedagogical research methods is required. …”
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The Walk of Guilt: Multimodal Deception Detection from Nonverbal Motion Behaviour by Sharifa Alghowinem, Sabrina Caldwell, Ibrahim Radwan, Michael Wagner, Tom Gedeon

“…Following the success of affective computing in emotion recognition from verbal and nonverbal cues, we aim to apply a similar concept for deception detection. …”
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