LEADER 03765oam 2200553 450 001 9910484411703321 005 20220912174618.0 010 $a3-030-61577-4 024 7 $a10.1007/978-3-030-61577-2 035 $a(CKB)4100000011569036 035 $a(MiAaPQ)EBC6396075 035 $a(DE-He213)978-3-030-61577-2 035 $a(PPN)252507347 035 $a(EXLCZ)994100000011569036 100 $a20210426d2021 uy 0 101 0 $aeng 135 $aurnn#---mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEmotion recognition and understanding for emotional human-robot interaction systems /$fLuefeng Chen [et al.] 205 $a1st edition 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (XI, 247 p. 130 illus., 85 illus. in color.) 225 1 $aStudies in computational intelligence ;$vVolume 926 311 1 $a3-030-61576-6 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Multi-modal emotion feature extraction -- Deep sparse autoencoder network for facial emotion recognition -- AdaBoost-knn with direct optimization for dynamic emotion recognition -- Weight-adapted convolution neural network for facial expression recognition -- Two-layer fuzzy multiple random forest for speech emotion recognition -- Two-stage fuzzy fusion based-convolution neural network for dynamic emotion recognition -- Multi-support vector machine based Dempster-Shafer theory for gesture intention understanding -- Three-layer weighted fuzzy support vector regressions for emotional intention understanding -- Dynamic emotion understanding based on two-layer fuzzy fuzzy support vector regression-Takagi-Sugeno model -- Emotion-age-gender-nationality based intention understanding using two-layer fuzzy support vector regression -- Emotional human-robot interaction systems -- Experiments and applications of emotional human-robot. 330 $aThis book focuses on the key technologies and scientific problems involved in emotional robot systems, such as multimodal emotion recognition (i.e., facial expression/speech/gesture and their multimodal emotion recognition) and emotion intention understanding, and presents the design and application examples of emotional HRI systems. Aiming at the development needs of emotional robots and emotional human?robot interaction (HRI) systems, this book introduces basic concepts, system architecture, and system functions of affective computing and emotional robot systems. With the professionalism of this book, it serves as a useful reference for engineers in affective computing, and graduate students interested in emotion recognition and intention understanding. This book offers the latest approaches to this active research area. It provides readers with the state-of-the-art methods of multimodal emotion recognition, intention understanding, and application examples of emotional HRI systems. 410 0$aStudies in computational intelligence ;$vVolume 926. 606 $aHuman-robot interaction 606 $aRobotics$xHuman factors 606 $aEmotion recognition 615 0$aHuman-robot interaction. 615 0$aRobotics$xHuman factors. 615 0$aEmotion recognition. 676 $a507.2 700 $aChen$b Luefeng$01226588 701 $aWu$b Min$factive 2022$01254111 701 $aPedrycz$b Witold$f1953-$021029 701 $aHirota$b K$g(Kaoru)$01176066 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910484411703321 996 $aEmotion recognition and understanding for emotional human-robot interaction systems$92908034 997 $aUNINA