LEADER 01049nam0-22003611i-450- 001 990001033510403321 035 $a000103351 035 $aFED01000103351 035 $a(Aleph)000103351FED01 035 $a000103351 100 $a20000920d1966----km-y0itay50------ba 101 0 $aita 200 1 $aExperiments in Modern Physics$fby Adrian C. Melissinos 210 $aNew York [etc.]$cAcademic Press$d1966 215 $a559 p.$d25 cm 610 0 $aStrumentazione e misure di fisica generale 676 $a530 700 1$aMelissinos,$bAdrian C.$01228 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001033510403321 952 $aS.20C-005$b13107$fFI1 952 $aS.20C-006$b13106$fFI1 952 $aS.20C-008$b13104$fFI1 952 $aS.20C-007$b13105$fFI1 952 $aS.20C-009$b13103$fFI1 952 $a20C-039.001$b5844$fFI1 952 $aS.20C-003$b5166$fFI1 952 $a20C-039.002$b14041$fFI1 959 $aFI1 996 $aExperiments in modern physics$9187754 997 $aUNINA DB $aING01 LEADER 04979nam 22007095 450 001 9910254313103321 005 20200701020427.0 010 $a3-662-53692-7 024 7 $a10.1007/978-3-662-53692-6 035 $a(CKB)4340000000062390 035 $a(DE-He213)978-3-662-53692-6 035 $a(MiAaPQ)EBC6307294 035 $a(MiAaPQ)EBC5590957 035 $a(Au-PeEL)EBL5590957 035 $a(OCoLC)987435419 035 $a(PPN)201471744 035 $a(EXLCZ)994340000000062390 100 $a20170513d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHuman Motion Sensing and Recognition $eA Fuzzy Qualitative Approach /$fby Honghai Liu, Zhaojie Ju, Xiaofei Ji, Chee Seng Chan, Mehdi Khoury 205 $a1st ed. 2017. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2017. 215 $a1 online resource (XVI, 281 p. 131 illus., 112 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v675 311 $a3-662-53690-0 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Fuzzy Qualitative Trigonometry -- Fuzzy Qualitative Robot Kinematics -- Fuzzy Qualitative Human Motion Analysis -- Fuzzy Gaussian Mixture Models -- Fuzzy Empirical Copula for Estimating Data Dependence Structure -- A Unified Fuzzy Framework for Human Hand Motion Recognition -- Human Hand Motion Analysis with Multisensory Information -- A Novel Approach to Extract Hand Gesture Feature in Depth Images -- Recognizing Constrained 3D Human Motion: An Inference Approach -- Study of Human Action Recognition Based on Improved Spatio-temporal Features -- A View-invariant Action Recognition based on Multi-view Space Hidden Markov Models. . 330 $aThis book introduces readers to the latest exciting advances in human motion sensing and recognition, from the theoretical development of fuzzy approaches to their applications. The topics covered include human motion recognition in 2D and 3D, hand motion analysis with contact sensors, and vision-based view-invariant motion recognition, especially from the perspective of Fuzzy Qualitative techniques. With the rapid development of technologies in microelectronics, computers, networks, and robotics over the last decade, increasing attention has been focused on human motion sensing and recognition in many emerging and active disciplines where human motions need to be automatically tracked, analyzed or understood, such as smart surveillance, intelligent human-computer interaction, robot motion learning, and interactive gaming. Current challenges mainly stem from the dynamic environment, data multi-modality, uncertain sensory information, and real-time issues. These techniques are shown to effectively address the above challenges by bridging the gap between symbolic cognitive functions and numerical sensing & control tasks in intelligent systems. The book not only serves as a valuable reference source for researchers and professionals in the fields of computer vision and robotics, but will also benefit practitioners and graduates/postgraduates seeking advanced information on fuzzy techniques and their applications in motion analysis. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v675 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aBiomedical engineering 606 $aHuman physiology 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 606 $aHuman Physiology$3https://scigraph.springernature.com/ontologies/product-market-codes/B13004 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aBiomedical engineering. 615 0$aHuman physiology. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aHuman Physiology. 676 $a006.3 700 $aLiu$b Honghai$4aut$4http://id.loc.gov/vocabulary/relators/aut$0878612 702 $aJu$b Zhaojie$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aJi$b Xiaofei$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChan$b Chee Seng$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKhoury$b Mehdi$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254313103321 996 $aHuman Motion Sensing and Recognition$91961578 997 $aUNINA LEADER 04433oam 2200541I 450 001 9910150340203321 005 20230810001306.0 010 $a1-315-45028-3 010 $a1-315-45026-7 024 7 $a10.4324/9781315450285 035 $a(CKB)3710000000932817 035 $a(MiAaPQ)EBC4741988 035 $a970389473 035 $a(BIP)57468512 035 $a(BIP)55910384 035 $a(EXLCZ)993710000000932817 100 $a20180706d2017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aLearning and behavior /$fJames E. Mazur 205 $aEighth edition. 210 1$aNew York ;$aLondon :$cRoutledge,$d2017. 215 $a1 online resource (521 pages) $cillustrations, tables 311 08$a1-138-68994-7 311 08$a1-315-45027-5 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $a1. History, backgruond, and basic concepts -- 2. Innate behavior patterns and habituation -- 3. Basic principles of classical conditioning -- 4. Theories and research on classical conditioning -- 5. Basic principles of operant conditioning -- 6. Reinforcement schedules : experimental analyses and applications -- 7. Avoidance and punishment -- 8. Theories and research on operant conditioning -- 9. Stimulus control and concept learning -- 10. Comparative cognition -- 11. Observational learning and motor skills -- 12. Choice. 330 $aThis book reviews how people and animals learn and how their behaviors are changed as a result of learning. It describes the most important principles, theories, controversies, and experiments that pertain to learning and behavior that are applicable to diverse species and different learning situations. Both classic studies and recent trends and developments are explored, providing a comprehensive survey of the field. Although the behavioral approach is emphasized, many cognitive theories are covered as well, along with a chapter on comparative cognition. Real-world examples and analogies make the concepts and theories more concrete and relevant to students. In addition, most chapters provide examples of how the principles covered have been applied in behavior modification and therapy. Thoroughly updated, each chapter features many new studies and references that reflect recent developments in the field. Learning objectives, bold-faced key terms, practice quizzes, a chapter summary, review questions, and a glossary are included. ? The volume is intended for undergraduate or graduate courses in psychology of learning, (human) learning, introduction to learning, learning processes, animal behavior, (principles of) learning and behavior, conditioning and learning, learning and motivation, experimental analysis of behavior, behaviorism, and behavior analysis.' Highlights of the new edition include: -A new text design with more illustrations, photos, and tables. - In the Media , Spotlight on Research, and Applying the Research boxes that highlight recent applications of learning principles in psychology, education, sports, and the workplace. -Discussions of recent developments in the growing field of neuroscience. - Coverage of various theoretical perspectives to the study of learning--behavioral, cognitive, and physiological. - Expanded coverage of emerging topics such as the behavioral economics of addictions, disordered gambling, and impulsivity. -New examples, references, and research studies to ensure students are introduced to the latest developments in the field. - A website at www.routledge.com/9781138689947 where instructors will find a test bank, Powerpoint slides, and Internet links. Students will find practice questions, definitions of key terms, chapter outlines, and Internet sources for additional information. 606 $aLearning, Psychology of 606 $aConditioned response 606 $aBehavior modification 606 $aPsychology, Comparative 615 0$aLearning, Psychology of. 615 0$aConditioned response. 615 0$aBehavior modification. 615 0$aPsychology, Comparative. 676 $a153.1/5 700 $aMazur$b James E.$f1951-$01243170 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910150340203321 996 $aLearning and behavior$92883581 997 $aUNINA