Pooja Kumawat |  Aurobinda Routray -  《Expert Systems with Application》 - 2025,260(Jan.) - 125358.1～125358.15 - 共15页

摘要：-emotion model and express the non-prototypical emotions |  variations in the non-prototypical emotion ground truths |  non-prototypical emotions. We then propose the mixed |  the mixed-emotion model, which then predicts the non |  prototypical emotion. We develop the proposed mixed-emotion

关键词： Speech emotion recognition |  Non-prototypical emotion |  Mixed-emotion model |  Annotation variations |  Emotion profile |  Wav2vec 2.0

Kejun Zhang |  Xinda Wu... -  《IEEE transactions on affective computing》 - 2023,14(2) - 1201～1214 - 共14页

摘要：-assessment of 18 non-prototypical emotional categories and | , and a single type of emotion annotation. To address | Affective computing and natural human-computer |  interaction, which would be capable of interpreting and |  responding intelligently to the social cues of interaction

关键词： Databases |  Emotion recognition |  Annotations |  Games |  Sun |  Physiology |  Observers

Julia Folz |  Donatella Fiacchino... -  《Affective science.》 - 2022,3(2) - 480～497 - 共18页

摘要： distinguishing between a variety of discrete emotion displays |  study aims to create a holistic picture of emotion |  emotional information (prototypical facial expressions |  emotion recognition. Lastly, tears were not only rated |  of affect sharing in a non-interactive experimental

关键词： Facial expressions |  Bodily expressions |  Facial electromyography |  Skin conductance |  Skin temperature |  Emotion recognition

Trepacova, Martina |  Rezac, Pavel... -  《Transportation research, Part F. Traffic psychology and behaviour》 - 2019,60F(Jan.) - 582～589 - 共8页

摘要：It is assumed that emotion recognition is a |  are differences in response time in facial emotion |  recognition. Fifty-one non-offenders and 41 offenders |  & Friesen, 1976) wherein photographs of prototypical |  incorrect. Data show that non-offenders are faster in

关键词： Non-offenders |  Offenders |  Facial affect recognition |  Emotional expression |  POFA test

Wei, Pengcheng |  Zhao, Yu -  《Personal and ubiquitous computing》 - 2019,23(3/4) - 521～529 - 共9页

摘要： of spontaneous, non-prototypical, and long-term |  use emotion-related context information to conduct |  emotion recognition algorithms achieve the relatively |  good application to the real-life speech emotion |  abovementioned issues, a novel speech emotion recognition

关键词： Contextual information |  Emotion recognition |  Auto-encoder |  Kernel sparse |  Sub-utterance-level |  Support vector machine |  Hidden feature |  Deep learning

Dominik Seuss |  Johann Heinrich Ellg...... -  《2019 8th International Conference on Affective Computing and Intelligent Interaction: ACII 2019, Cambridge, United Kingdom, 3-6 September 2019》 -  International Conference on Affective Computing and Intelligent Interaction - 2019, - 35～41 - 共7页

摘要： for the recognition of emotion phenomena. Automated |  intensities to enactment of a variety of emotion scenarios |  into affective phenomena--whether prototypical basic |  encompasses. The database is publicly available for non | Over the last few decades, there has been an

关键词： Affective database |  Facial expression analyses

NSTL主题词： video databases |  Facial Expression |  shot |  actor |  Emotions |  Cameras |  Angle

Li, Ya |  Tao, Jianhua... -  《Journal of ambient intelligence and humanized computing》 - 2017,8(6) - 913～924 - 共12页

摘要： total, 26 non-prototypical emotional states, including |  natural, multimodal, rich-annotated emotion database | , we provide multi-emotion labels and fake/suppressed |  emotion labels. To our best knowledge, this database is |  the first large-scale Chinese natural emotion corpus

关键词： Audio-visual database |  Natural emotion |  Corpus annotation |  LSTM |  Multimodal emotion recognition

Kim, Yelin |  Provost, Emily Mower -  《2015 International Conference on Affective Computing and Intelligent Interaction: 2015 International Conference on Affective Computing and Intelligent Interaction (ACII), 21-24 Sept. 2015, Xi an》 -  International Conference on Affective Computing and Intelligent Interaction - 2015, - 553～559 - 共7页

摘要：. We choose weights of prototypical and non |  how audiovisual emotion recognition systems can |  instances and evaluated emotion from the IEMOCAP corpus | -prototypical instances based on the maximal accuracy of each |  the information gain of emotion given

关键词： Databases |  Emotion recognition |  Entropy |  Speech |  Support vector machines |  Training |  Visualization |  ambiguity |  emotion recognition |  human evaluator...

Yelin Kim |  Emily Mower Provost -  《2015 International conference on affective computing and intelligent interaction: ACII 2015, Xi an, China, 21-24 September 2015, pages 498-998, [v.2]》 -  International Conference on Affective Computing and Intelligent Interaction - 2015, - 553～559 - 共7页

摘要：. We choose weights of prototypical and non |  how audio-visual emotion recognition systems can |  instances and evaluated emotion from the IEMOCAP corpus | -prototypical instances based on the maximal accuracy of each |  the information gain of emotion given

关键词： Emotion recognition |  Human evaluator |  Prototypicality |  Ambiguity |  Neutrality

NSTL主题词： emotion recognition

Starostenko, Oleg |  Cortes, Ximena... -  《Journal of ambient intelligence and smart environments》 - 2015,7(1) - 59～83 - 共25页

摘要： 65-96% and non-prototypical emotions in range of 55 |  non-prototypical expressions may be composed by |  existing and new emotion sensing applications, which |  emotion interpreters based on the proposed 6-FACS and |  recognition of three-level intensity of basic and non

关键词： Affective computing applications |  sensing basic and non-prototypical emotions |  facial expression recognition