Results 21 to 30 of about 7,606,948 (285)
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
doaj +1 more source
Affective Computing on Machine Learning-Based Emotion Recognition Using a Self-Made EEG Device. [PDF]
Sensors (Basel), 2021 In this research, we develop an affective computing method based on machine learning for emotion recognition using a wireless protocol and a wearable electroencephalography (EEG) custom-designed device.
Mai ND, Lee BG, Chung WY.
europepmc +2 more sources
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
doaj +1 more source
IEEE Intelligent Systems, 2023 ChatGPT has shown the potential of emerging general artificial intelligence capabilities, as it has demonstrated competent performance across many natural language processing tasks.
Mostafa M. Amin +3 more
semanticscholar +1 more source
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
doaj +1 more source
Towards affective computing that works for everyone [PDF]
Affective Computing and Intelligent Interaction, 2023 Missing diversity, equity, and inclusion elements in affective computing datasets directly affect the accuracy and fairness of emotion recognition algorithms across different groups.
Tessa Verhoef, E. Fosch-Villaronga
semanticscholar +1 more source
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
doaj +1 more source
Affective Computational Interfaces [PDF]
, 2019 The following text describes the development of affective computer interfaces that seek to provoke visual, tactile, gustatory and olfactory interactions, a process by which an external or internal stimulus causes a specific reaction that produce a perception, considering that in the deleuzian and guattarian sense (1992), an idea can thoroughly cross ...
Suzete Venturelli +6 more
openaire +1 more source
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
doaj +1 more source
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
doaj +1 more source