Showing 1 - 15 results of 15 for search '"Affective Computing"', query time: 0.06s Refine Results
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    Benefits of Subliminal Feedback Loops in Human-Computer Interaction by Walter Ritter

    Published 2011-01-01
    “…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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    Article
  11. 11

    CaRo 2.0: An Interactive System for Expressive Music Rendering by Sergio Canazza, Giovanni De Poli, Antonio Rodà

    Published 2015-01-01
    “…., 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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  12. 12

    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

    Published 2025-01-01
    “…Affective computing aims to develop systems capable of effectively interacting with people through emotion recognition. …”
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  13. 13

    The Walk of Guilt: Multimodal Deception Detection from Nonverbal Motion Behaviour by Sharifa Alghowinem, Sabrina Caldwell, Ibrahim Radwan, Michael Wagner, Tom Gedeon

    Published 2024-12-01
    “…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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  14. 14

    A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition by Jiawen Li, Guanyuan Feng, Chen Ling, Ximing Ren, Xin Liu, Shuang Zhang, Leijun Wang, Yanmei Chen, Xianxian Zeng, Rongjun Chen

    Published 2025-01-01
    “…Emotion recognition is an advanced technology for understanding human behavior and psychological states, with extensive applications for mental health monitoring, human–computer interaction, and affective computing. Based on electroencephalography (EEG), the biomedical signals naturally generated by the brain, this work proposes a resource-efficient multi-entropy fusion method for classifying emotional states. …”
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    Cyberattack on the National Health Laboratory Service of South Africa – implications, response and recommendations by S Cassim, Z C Chapanduka

    Published 2024-11-01
    “…As a result, all files on the affected computers and servers became inaccessible, thus affecting all NHLS operations. …”
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