LEADER 06979nam 2200721 a 450 001 9910956071303321 005 20240402071313.0 010 $a6612880414 010 $a1-282-88041-1 010 $a9786612880414 010 $a1-60750-597-5 035 $a(CKB)2670000000054624 035 $a(CaPaEBR)ebrary10425039 035 $a(SSID)ssj0000444016 035 $a(PQKBManifestationID)12210991 035 $a(PQKBTitleCode)TC0000444016 035 $a(PQKBWorkID)10468815 035 $a(PQKB)10584904 035 $a(Au-PeEL)EBL1640885 035 $a(CaPaEBR)ebr10425039 035 $a(CaONFJC)MIL288041 035 $a(MiAaPQ)EBC1640885 035 $a(OCoLC)670512250 035 $a(EXLCZ)992670000000054624 100 $a20100617d2010 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aVisual affect recognition /$fIoanna-Ourania Stathopoulou and George A. Tsihrintzis 205 $a1st ed. 210 $aWashington, D.C. $cIOS Press$d2010 215 $a1 online resource (267 p.) 225 1 $aFrontiers in artificial intelligence and applications. Knowledge-based intelligent engineering systems,$x0922-6389 ;$vv. 214 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a1-60750-596-7 320 $aIncludes bibliographical references. 327 $aTitle page -- Contents -- Introduction -- Motivation -- Organization of this monograph -- Psychological Studies on Emotion Perception -- Emotion vs affect vs feelings -- Emotions and culture -- Basic Emotions -- Culturally Specific Expressions of Emotions -- Higher Cognitive Emotions -- Neurobiology and Emotion Expression -- Cerebral Cortex -- Amygdala -- Superior Temporal Sulcus -- Implicit and Explicit Perception of Emotion -- Expression of Emotion -- Written Language -- Speech -- Facial Expressions -- Body movements and Hand gestures -- Facial Expression of Emotion -- Previous Attempts to Facial Emotion Quantification and Classification -- External Factors in Facial Emotion Perception -- Face and Facial Expressions: Their Role -- The Importance of Understanding Emotions -- Meeting Emotional Needs with the Help of Advanced Human-Computer Interaction Techniques -- Supporting emotional skill needs -- Supporting experiential needs -- Studies and Systems on Emotion Recognition -- Face Databases -- Specifying Requirements for an Ideal Facial Expression Database -- Previous Facial Expression Databases -- Section Summary - Results -- Face Detection -- Specifying Requirements for an Ideal Face Detection System -- Previous Works on Face Detection -- Section Summary - Results -- Facial Expression Classification System -- Specifying Requirements for our Facial Expression Classification System -- Facial Expression Classification Approaches -- Section Summary - Results -- Face Image Databases -- The Database of Low Quality Face Images (DBLQFI) -- The Database of High Quality Face Images (DBHQFI) -- Empirical Studies on Emotion Recognition -- Preliminary Questionnaires -- Newer (Detailed) Questionnaires -- The detailed questionnaire structure -- The observer and subject backgrounds -- Results from Statistical Analysis -- Statistical Analysis per Expression. 327 $aDifficulties of Facial Expression Classification as Outlined by the Participants -- Statistical Significance of the Results -- Extraction of Facial Expression Classification Features -- Summary - Conclusions -- Visual-Facial Emotion Recognition System -- Face Detection -- P. Sinha's Template -- The Face Detection Algorithm - Image Preprocessing -- Artificial Neural Network-Based Face Detectors -- Performance Evaluation -- Summary and Conclusions -- Introduction to our Facial Expression Recognition System -- First attempts for facial expression recognition -- The Facial Expression Classification Algorithm (1st Attempts) -- Feature Validation (First Attempts) -- Neural Network Classifiers (First Attempts) -- Results from neural network classifiers (First Attempts) -- Facial expression recognition system -- Feature Selection -- Image Preprocessing and Feature Extraction -- The extraction algorithm for the rest of facial features -- Combination of all and computation of feature vector -- Quantification of Feature Discrimination Power -- Classifiers for Facial Expression Classification -- Classification Performance Assessment -- More Sophisticated Classifiers -- Experimental performance evaluation -- Summary - Conclusions -- Human Motion and Gesture Analysis -- Introduction -- Human detection and motion tracking -- Marker-based approaches -- Markerless approaches -- Hand Gesture recognition -- The meaning of hand gestures -- Techniques for hand gesture recognition -- Emotion Recognition Systems from Body Movements and Gestures -- Conclusions and Future Work -- Summary and Conclusions -- Current and Future Work -- Towards a multimodal emotion recognition system -- Towards extending the visual-facial expression recognition. 330 $aIt is generally known that human faces, as well as body motions and gestures, provide a wealth of information about a person, such as age, race, sex and emotional state. This monograph primarily studies the perception of facial expression of emotion, and secondarily of motion and gestures, with the purpose of developing a fully automated visual affect recognition system for use in modes of human/computer interaction. The book begins with a survey of the literature on emotion perception, followed by a description of empirical studies conducted with human participants and the construction of a 'face image database'. On the basis of this work, a visual affect recognition system was developed, consisting of two modules: a face detection subsystem and a facial expression recognition subsystem.Details of this system are demonstrated and analyzed, and extensive performance evaluations and test results are provided. Finally, current research avenues leading to visual affect recognition via analysis of body motion and gestures are also discussed. 410 0$aFrontiers in artificial intelligence and applications.$pKnowledge-based intelligent engineering systems ;$vv. 214. 606 $aComputer vision 606 $aVisual perception 606 $aFacial expression 606 $aEmotions$xPhysiological aspects 606 $aPattern recognition systems 606 $aArtificial intelligence 615 0$aComputer vision. 615 0$aVisual perception. 615 0$aFacial expression. 615 0$aEmotions$xPhysiological aspects. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence. 700 $aStathopoulou$b Ioanna-Ourania$01820541 701 $aTsihrintzis$b George A$0739887 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910956071303321 996 $aVisual affect recognition$94382798 997 $aUNINA LEADER 04431nam 22006135 450 001 9911016069503321 005 20250719130244.0 010 $a3-031-92973-X 024 7 $a10.1007/978-3-031-92973-1 035 $a(CKB)39698331300041 035 $a(MiAaPQ)EBC32234570 035 $a(Au-PeEL)EBL32234570 035 $a(DE-He213)978-3-031-92973-1 035 $a(EXLCZ)9939698331300041 100 $a20250719d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence $eUnveiling the Truth beyond the Myths /$fby Alfio Quarteroni 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (195 pages) 225 1 $aCopernicus Books, Sparking Curiosity and Explaining the World,$x2731-8990 311 08$a3-031-92972-1 327 $a1 Introduction -- 2 The Early Pages of AI: Between Dream and Reality -- 3 Shining Light on AI -- 4 Machine Learning: when Computers Learn (on Their Own!) -- 5 Mathematics...the Bare Minimum -- 6 What Data for Learning, and What Kind of Learning? -- 7 Generative AI: the Sudden Boom -- 8 AI is not just Generative -- 9 AI in Science -- 10 Where Do we Stand and a Look into the Futur -- 11 Artificial Intelligence and Human Intelligence -- 12 Black, White, and Grey Boxes: a New Frontier, from Big Data to Big Science -- 13 Dialoguing with ChatGPT4 -- 14 Conclusion and Further Insights -- 15 Addendum: A brief mathematical digression on complexity, reproducibility, transparency, and explainability of AI. 330 $aArtificial intelligence (AI) is transforming multiple aspects of human life, raising fundamental questions: Is AI truly intelligent? Can it surpass human capabilities? What are its risks and opportunities? In this book, I aim to clarify what AI really is, debunking myths while offering a rigorous, balanced perspective on its impact. Rather than chasing the latest AI trends, I will focus on the core principles that define it, tracing its evolution from early pioneers like Alan Turing to today?s advanced systems. AI remains in the realm of narrow intelligence, excelling at specific tasks but far from replicating human cognition. Yet, its ability to process vast data, predict behaviors, and generate creative content is reshaping industries, from healthcare to finance. At the heart of AI?s progress is machine learning, particularly neural networks, which rely more on data-driven training than traditional scientific theory. However, this innovation comes with challenges: environmental costs, job market disruptions, ethical dilemmas, and the black box problem?AI?s decision-making opacity, which raises concerns about trust and accountability. AI also plays a growing role in global power dynamics, influencing governance, security, and even democracy. Nations leading AI development gain strategic advantages, but without careful regulation, AI could fuel inequality, surveillance, and manipulation. Despite the fears AI evokes, it is neither an existential threat nor a magical solution. My goal is not to celebrate or demonize it but to provide a critical framework for understanding this technological revolution. By fostering awareness, we can shape AI?s integration into society in a way that aligns with human values and scientific progress. 410 0$aCopernicus Books, Sparking Curiosity and Explaining the World,$x2731-8990 606 $aArtificial intelligence 606 $aMathematics 606 $aComputer science$xMathematics 606 $aComputer science 606 $aArtificial Intelligence 606 $aApplications of Mathematics 606 $aMathematical Applications in Computer Science 606 $aComputer Science 615 0$aArtificial intelligence. 615 0$aMathematics. 615 0$aComputer science$xMathematics. 615 0$aComputer science. 615 14$aArtificial Intelligence. 615 24$aApplications of Mathematics. 615 24$aMathematical Applications in Computer Science. 615 24$aComputer Science. 676 $a006.3 700 $aQuarteroni$b Alfio$08375 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911016069503321 996 $aArtificial Intelligence$94409920 997 $aUNINA