Brain Activation Differences of Six Basic Emotions Between 2D Screen and Virtual Reality Modalities
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 To our knowledge, it has been widely studied in Screen-2D modality for the six basic emotions proposed by Professor Paul Ekman, but there are only studies on their positive and negative valence in VR-3D modality.
Jialan Xie +4 more
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Computing the Affective-Aesthetic Potential of Literary Texts [PDF]
, 2020 In this paper, we compute the affective-aesthetic potential (AAP) of literary texts by using a simple sentiment analysis tool called SentiArt. In contrast to other established tools, SentiArt is based on publicly available vector space models (VSMs) and ...
Jacobs, Arthur M., Kinder, Annette
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Attribute coordinate system‐based representation and application method of affective cognition
Electronics Letters, 2022 The traditional fuzzy Petri nets (FPNs) rarely contain the affective features when making reasoning decisions, primarily because the existing affective computing model is not suitable to be described directly in FPNs. In order to solve this problem, this
Ruqi Zhou, Huiyou Chang, Yonghe Lu
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QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform
Sensors, 2018 Smartphones and wearable sensors have enabled unprecedented data collection, with many products now providing feedback to users about recommended step counts or sleep durations.
Sara Taylor +4 more
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Affective Medicine: a review of Affective Computing efforts in Medical Informatics [PDF]
, 2010 Background: Affective computing (AC) is concerned with emotional interactions performed with and through computers. It is defined as “computing that relates to, arises from, or deliberately influences emotions”. AC enables investigation and understanding
Bamidis, Panagiotis +2 more
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Facial Expression Recognition Using Fusion Features Based on Center-Symmetric Local Octonary Pattern
IEEE Access, 2019 A local feature descriptor has gained a lot of interest in many applications, such as image retrieval, texture classification, and face recognition. This paper proposes a novel local feature descriptor: center-symmetric local octonary pattern (CS-LOP ...
Min Hu +5 more
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ROI-Attention Vectorized CNN Model for Static Facial Expression Recognition
IEEE Access, 2020 When using neural networks to recognize facial expressions, determining which features help identify different expressions is essential, and there is a massive information transmission loss between layers of network with multiple layers.
Xiao Sun, Shixin Zheng, Hongshuai Fu
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Affection of facial artifacts caused by micro-expressions on electroencephalography signals
Frontiers in Neuroscience, 2022 Macro-expressions are widely used in emotion recognition based on electroencephalography (EEG) because of their use as an intuitive external expression.
Xiaomei Zeng +23 more
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End-to-End Speech Synthesis Based on BERT [PDF]
Jisuanji kexue, 2022 To address the problems of low training and prediction efficiency of RNN-based neural network speech synthesis mo-dels and long-distance information loss, an end-to-end BERT-based speech synthesis method is proposed to use the Self-Attention Mechanism ...
AN Xin, DAI Zi-biao, LI Yang, SUN Xiao, REN Fu-ji
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Entertainment modeling in physical play through physiology beyond heart-rate [PDF]
, 2007 An investigation into capturing the relation of physiology, beyond heart rate recording, to expressed preferences of entertainment in children’s physical gameplay is presented in this paper.
Hallam, John +2 more
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