02739nam 2200649Ia 450 991045351330332120211005070320.097866117832351-281-78323-40-8264-6236-7(CKB)1000000000541560(EBL)436749(OCoLC)271240802(SSID)ssj0000249707(PQKBManifestationID)12078220(PQKBTitleCode)TC0000249707(PQKBWorkID)10230969(PQKB)10179078(MiAaPQ)EBC436749(Au-PeEL)EBL436749(CaPaEBR)ebr10250858(CaONFJC)MIL178323(MiAaPQ)EBC3002930(Au-PeEL)EBL3002930(OCoLC)928191175(EXLCZ)99100000000054156019970421d1997 uy 0engur|n|---|||||txtccrSpelling[electronic resource] remedial strategies /Diane MontgomeryLondon ;Herndon, VA Cassellc19971 online resource (273 p.)Special needs in ordinary schoolsDescription based upon print version of record.0-304-32972-X 0-304-32974-6 Includes bibliographical references and index.Contents; Acknowledgements; Editorial foreword; Introduction; 1 Spelling: teaching and development; 2 Assessment; 3 Developmental assessment and intervention: the early stages of learning; 4 Developmental assessment and intervention: the later stages of learning; 5 General remedial strategies: abilities training; 6 General remedial strategies: skills training, 'sound' methods; 7 General remedial strategies: skills training, writing and other methods; 8 Specialist remedial strategies; Epilogue; Bibliography; IndexDesigned for teachers wanting to know what to do to help pupils with spelling difficulties, this book combines practical advice with theory, research and accounts of the author's own experience. The author looks at how spelling skills develop in both young children and older pupils.Special needs in ordinary schools.English languageOrthography and spellingStudy and teachingSpelling disabilityElectronic books.English languageOrthography and spellingStudy and teaching.Spelling disability.372.63/2Montgomery Diane857151MiAaPQMiAaPQMiAaPQBOOK9910453513303321Spelling2474351UNINA06126nam 22006495 450 991029956430332120200630222149.0981-10-6692-210.1007/978-981-10-6692-4(CKB)4100000000881599(DE-He213)978-981-10-6692-4(MiAaPQ)EBC6299350(MiAaPQ)EBC5591606(Au-PeEL)EBL5591606(OCoLC)1066188494(PPN)220125066(EXLCZ)99410000000088159920171026d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierKinesthetic Perception A Machine Learning Approach /by Subhasis Chaudhuri, Amit Bhardwaj1st ed. 2018.Singapore :Springer Singapore :Imprint: Springer,2018.1 online resource (XV, 138 p. 50 illus., 44 illus. in color.) Studies in Computational Intelligence,1860-949X ;748981-10-6691-4 Intro -- Preface -- Acknowledgements -- Contents -- About the Authors -- 1 Introduction -- 1.1 Basics of Haptics -- 1.1.1 Various Research Areas in Haptics -- 1.1.2 Possible Applications -- 1.2 Kinesthetic Perception -- 1.3 Perception: Aware Engineering Design -- 1.4 Organization of the Book -- References -- 2 Perceptual Deadzone -- 2.1 Haptic Data Compression -- 2.2 Perceptual Deadzone for Multidimensional Signals -- 2.3 Effect of Rate of Change of Kinesthetic Stimuli -- References -- 3 Predictive Sampler Design for Haptic Signals -- 3.1 Introduction -- 3.2 Experimental Setup -- 3.2.1 Device Setup -- 3.2.2 Signal Characteristics -- 3.2.3 Lag in User Response -- 3.2.4 Collected Data -- 3.3 Classification of Haptic Response -- 3.3.1 Performance Metric -- 3.3.2 Weber Classifier -- 3.3.3 Level Crossing Classifier -- 3.3.4 Classifiers Based on Decision Tree and Random Forests -- 3.3.5 Effect of Temporal Spacing -- 3.3.6 Significance Test for Classifiers -- 3.4 Applications in Adaptive Sampling -- References -- 4 Deadzone Analysis of 2-D Kinesthetic Perception -- 4.1 Introduction -- 4.2 Experimental Setup -- 4.2.1 Signal Characteristics and User Response -- 4.2.2 Data Statistics -- 4.3 Determination of Perceptual Deadzone -- 4.3.1 The Weber Classifier -- 4.3.2 Level Crossing Classifier -- 4.3.3 Elliptical Deadzone -- 4.3.4 Oriented Elliptical Deadzone -- References -- 5 Effect of Rate of Change of Stimulus -- 5.1 Introduction -- 5.2 Design of Experiment -- 5.2.1 Kinesthetic Force Stimulus -- 5.2.2 Data Collection -- 5.3 System Correction -- 5.4 Estimation of Decision Boundary -- 5.4.1 Parametric Decision Boundary -- 5.4.2 Nonparametric Decision Boundary -- 5.5 Analysis of Results -- References -- 6 Temporal Resolvability of Stimulus -- 6.1 Introduction -- 6.1.1 Motivation for the Study -- 6.1.2 Related Work -- 6.1.3 Our Approach.6.2 Experimental Setup -- 6.2.1 Signal Characteristics -- 6.2.2 Data Collection -- 6.3 Estimation of Temporal Resolution -- 6.4 Effect of Fatigue -- 6.5 Application in Data Communication -- References -- 7 Task Dependence of Perceptual Deadzone -- 7.1 Introduction -- 7.1.1 Objective of the Study -- 7.1.2 Prior Work -- 7.1.3 Our Approach -- 7.2 Design of Experiment -- 7.2.1 Kinesthetic Force Stimulus -- 7.2.2 Data Statistics -- 7.3 Estimation of Perceptual Deadzones -- References -- 8 Sequential Effect on Kinesthetic Perception -- 8.1 Introduction -- 8.2 Sequential Effect -- 8.3 Quantification of Sequential Effect -- 8.3.1 Logistic Regression -- 8.3.2 Description of the Regression Model -- 8.4 Analysis of Effect on Comparative Task -- 8.5 Analysis of Effect on Discriminative Task -- References -- 9 Conclusions -- Index.This book focuses on the study of possible adaptive sampling mechanisms for haptic data compression aimed at applications like tele-operations and tele-surgery. Demonstrating that the selection of the perceptual dead zones is a non-trivial problem, it presents an exposition of various issues that researchers must consider while designing compression algorithms based on just noticeable difference (JND). The book begins by identifying perceptually adaptive sampling strategies for 1-D haptic signals, and goes on to extend the findings on multidimensional signals to study directional sensitivity, if any. The book also discusses the effect of the rate of change of kinesthetic stimuli on the JND, temporal resolution for the perceivability of kinesthetic force stimuli, dependence of kinesthetic perception on the task being performed, the sequential effect on kinesthetic perception, and, correspondingly, on the perceptual dead zone. Offering a valuable resource for researchers, professionals, and graduate students working on haptics and machine perception studies, the book can also support interdisciplinary work focused on automation in surgery.Studies in Computational Intelligence,1860-949X ;748RoboticsAutomationArtificial intelligenceAutomatic controlRobotics and Automationhttps://scigraph.springernature.com/ontologies/product-market-codes/T19020Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Control and Systems Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/T19010Robotics.Automation.Artificial intelligence.Automatic control.Robotics and Automation.Artificial Intelligence.Control and Systems Theory.004.77Chaudhuri Subhasisauthttp://id.loc.gov/vocabulary/relators/aut846530Bhardwaj Amitauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299564303321Kinesthetic Perception2504035UNINA