BioCNN: A Hardware Inference Engine for EEG-Based Emotion Detection
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3012900
Abstract: EEG-based emotion classifiers have the potential of significantly improving the social integration of patients suffering from neurological disorders such as Amyotrophic Lateral Sclerosis or the acute stages of Alzheimer’s disease. Emotion classifiers have historically used… read more here.
Keywords: tex math; based emotion; inline formula;
EEG-GCN: Spatio-Temporal and Self-Adaptive Graph Convolutional Networks for Single and Multi-View EEG-Based Emotion Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3179946
Abstract: Graph networks are naturally suitable for modeling multi-channel features of EEG signals. However, the existing study that attempts to utilize graph-based neural networks for EEG-based emotion recognition doesn’t take the spatio-temporal redundancy of EEG features… read more here.
Keywords: emotion; based emotion; emotion recognition; spatio temporal ... See more keywords
EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2017.2685338
Abstract: Emotions play a crucial role in decision-making, brain activity, human cognition, and social intercourse. This paper proposes a hierarchical network structure with subnetwork nodes to discriminate three human emotions: 1) positive; 2) neutral; and 3)… read more here.
Keywords: subnetwork nodes; network; eeg based; hierarchical network ... See more keywords
Hierarchical Context-Based Emotion Recognition With Scene Graphs.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3196831
Abstract: For a better intention inference, we often try to figure out the emotional states of other people in social communications. Many studies on affective computing have been carried out to infer emotions through perceiving human… read more here.
Keywords: emotion; based emotion; emotion recognition; context ... See more keywords
Hierarchical Dynamic Graph Convolutional Network With Interpretability for EEG-Based Emotion Recognition.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3225855
Abstract: Graph convolutional networks (GCNs) have shown great prowess in learning topological relationships among electroencephalogram (EEG) channels for EEG-based emotion recognition. However, most existing GCN-only methods are designed with a single spatial pattern, lacking connectivity enhancement… read more here.
Keywords: information; graph convolutional; emotion; based emotion ... See more keywords
Bochum Assessment of Avoidance-based Emotion Regulation for Children (BAER-C): Development and evaluation of a new instrument measuring anticipatory avoidance-based emotion regulation in anxiety eliciting situations
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0279658
Abstract: Avoidance-based emotion regulation plays a central role in the development and maintenance of anxiety disorders across the life span. However, measures for children that account for different avoidance strategies, are scarce. Derived from Gross’ Process… read more here.
Keywords: based emotion; avoidance based; avoidance; emotion regulation ... See more keywords
Linking Multi-Layer Dynamical GCN With Style-Based Recalibration CNN for EEG-Based Emotion Recognition
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.834952
Abstract: Electroencephalography (EEG)-based emotion computing has become one of the research hotspots of human-computer interaction (HCI). However, it is difficult to effectively learn the interactions between brain regions in emotional states by using traditional convolutional neural… read more here.
Keywords: recognition; layer; emotion; based emotion ... See more keywords
Multi-Model Adaptation Learning With Possibilistic Clustering Assumption for EEG-Based Emotion Recognition
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.855421
Abstract: In machine learning community, graph-based semi-supervised learning (GSSL) approaches have attracted more extensive research due to their elegant mathematical formulation and good performance. However, one of the reasons affecting the performance of the GSSL method… read more here.
Keywords: multi model; model adaptation; adaptation learning; based emotion ... See more keywords
Intelligent Multi-Criteria Decision Support for Renovation Solutions for a Building Based on Emotion Recognition by Applying the COPRAS Method and BIM Integration
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13095453
Abstract: With accelerating climate change and the urgent need to cut carbon emissions, global focus has turned to the existing building stock and its renovation. Sustainable renovation helps to achieve better energy performance and gain wider… read more here.
Keywords: recognition; renovation; building; based emotion ... See more keywords