Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220704297> ?p ?o ?g. }
- W4220704297 endingPage "026012" @default.
- W4220704297 startingPage "026012" @default.
- W4220704297 abstract "Objective.Cultures have essential influences on emotions. However, most studies on cultural influences on emotions are in the areas of psychology and neuroscience, while the existing affective models are mostly built with data from the same culture. In this paper, we identify the similarities and differences among Chinese, German, and French individuals in emotion recognition with electroencephalogram (EEG) and eye movements from an affective computing perspective.Approach.Three experimental settings were designed: intraculture subject dependent, intraculture subject independent, and cross-culture subject independent. EEG and eye movements are acquired simultaneously from Chinese, German, and French subjects while watching positive, neutral, and negative movie clips. The affective models for Chinese, German, and French subjects are constructed by using machine learning algorithms. A systematic analysis is performed from four aspects: affective model performance, neural patterns, complementary information from different modalities, and cross-cultural emotion recognition.Main results.From emotion recognition accuracies, we find that EEG and eye movements can adapt to Chinese, German, and French cultural diversities and that a cultural in-group advantage phenomenon does exist in emotion recognition with EEG. From the topomaps of EEG, we find that theγandβbands exhibit decreasing activities for Chinese, while for German and French,θandαbands exhibit increasing activities. From confusion matrices and attentional weights, we find that EEG and eye movements have complementary characteristics. From a cross-cultural emotion recognition perspective, we observe that German and French people share more similarities in topographical patterns and attentional weight distributions than Chinese people while the data from Chinese are a good fit for test data but not suitable for training data for the other two cultures.Significance.Our experimental results provide concrete evidence of the in-group advantage phenomenon, cultural influences on emotion recognition, and different neural patterns among Chinese, German, and French individuals." @default.
- W4220704297 created "2022-04-03" @default.
- W4220704297 creator A5007124072 @default.
- W4220704297 creator A5044354789 @default.
- W4220704297 creator A5056335002 @default.
- W4220704297 creator A5062082655 @default.
- W4220704297 creator A5072326245 @default.
- W4220704297 creator A5079066710 @default.
- W4220704297 date "2022-03-28" @default.
- W4220704297 modified "2023-10-17" @default.
- W4220704297 title "Identifying similarities and differences in emotion recognition with EEG and eye movements among Chinese, German, and French People" @default.
- W4220704297 cites W1947251450 @default.
- W4220704297 cites W1975238145 @default.
- W4220704297 cites W1985867508 @default.
- W4220704297 cites W2003238582 @default.
- W4220704297 cites W2026204627 @default.
- W4220704297 cites W2097780989 @default.
- W4220704297 cites W2108455650 @default.
- W4220704297 cites W2110364951 @default.
- W4220704297 cites W2112056713 @default.
- W4220704297 cites W2119980753 @default.
- W4220704297 cites W2123080170 @default.
- W4220704297 cites W2128225438 @default.
- W4220704297 cites W2135777221 @default.
- W4220704297 cites W2143176838 @default.
- W4220704297 cites W2144756000 @default.
- W4220704297 cites W2155144982 @default.
- W4220704297 cites W2159190230 @default.
- W4220704297 cites W2167708481 @default.
- W4220704297 cites W2345305417 @default.
- W4220704297 cites W2598545578 @default.
- W4220704297 cites W2619383789 @default.
- W4220704297 cites W2626522798 @default.
- W4220704297 cites W2765856398 @default.
- W4220704297 cites W2786768213 @default.
- W4220704297 cites W2790404832 @default.
- W4220704297 cites W2794786890 @default.
- W4220704297 cites W2800893827 @default.
- W4220704297 cites W2801264641 @default.
- W4220704297 cites W2805750633 @default.
- W4220704297 cites W2811007805 @default.
- W4220704297 cites W2885474706 @default.
- W4220704297 cites W2886958908 @default.
- W4220704297 cites W2907371384 @default.
- W4220704297 cites W2926366943 @default.
- W4220704297 cites W2934123712 @default.
- W4220704297 cites W2936501325 @default.
- W4220704297 cites W2962905870 @default.
- W4220704297 cites W2964338037 @default.
- W4220704297 cites W2995057720 @default.
- W4220704297 cites W2997377425 @default.
- W4220704297 cites W3005566420 @default.
- W4220704297 cites W3024961463 @default.
- W4220704297 cites W3044607117 @default.
- W4220704297 cites W3048180383 @default.
- W4220704297 cites W3083255269 @default.
- W4220704297 cites W3129866999 @default.
- W4220704297 cites W3159301005 @default.
- W4220704297 cites W3196086198 @default.
- W4220704297 cites W4236533540 @default.
- W4220704297 doi "https://doi.org/10.1088/1741-2552/ac5c8d" @default.
- W4220704297 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35272271" @default.
- W4220704297 hasPublicationYear "2022" @default.
- W4220704297 type Work @default.
- W4220704297 citedByCount "7" @default.
- W4220704297 countsByYear W42207042972022 @default.
- W4220704297 countsByYear W42207042972023 @default.
- W4220704297 crossrefType "journal-article" @default.
- W4220704297 hasAuthorship W4220704297A5007124072 @default.
- W4220704297 hasAuthorship W4220704297A5044354789 @default.
- W4220704297 hasAuthorship W4220704297A5056335002 @default.
- W4220704297 hasAuthorship W4220704297A5062082655 @default.
- W4220704297 hasAuthorship W4220704297A5072326245 @default.
- W4220704297 hasAuthorship W4220704297A5079066710 @default.
- W4220704297 hasConcept C118552586 @default.
- W4220704297 hasConcept C12713177 @default.
- W4220704297 hasConcept C138885662 @default.
- W4220704297 hasConcept C144024400 @default.
- W4220704297 hasConcept C153050134 @default.
- W4220704297 hasConcept C154775046 @default.
- W4220704297 hasConcept C154945302 @default.
- W4220704297 hasConcept C15744967 @default.
- W4220704297 hasConcept C161191863 @default.
- W4220704297 hasConcept C169760540 @default.
- W4220704297 hasConcept C180747234 @default.
- W4220704297 hasConcept C2777855551 @default.
- W4220704297 hasConcept C2779903281 @default.
- W4220704297 hasConcept C36289849 @default.
- W4220704297 hasConcept C41008148 @default.
- W4220704297 hasConcept C41895202 @default.
- W4220704297 hasConcept C522805319 @default.
- W4220704297 hasConceptScore W4220704297C118552586 @default.
- W4220704297 hasConceptScore W4220704297C12713177 @default.
- W4220704297 hasConceptScore W4220704297C138885662 @default.
- W4220704297 hasConceptScore W4220704297C144024400 @default.
- W4220704297 hasConceptScore W4220704297C153050134 @default.
- W4220704297 hasConceptScore W4220704297C154775046 @default.
- W4220704297 hasConceptScore W4220704297C154945302 @default.