LOGNORMALITY PRINCIPLE & APPL E-SECURITY, E-LEARN & E-HEALTH
This compendium provides a detailed account of the lognormality principle characterizing the human motor behavior by summarizing a sound theoretical framework for modeling such a behavior, introducing the most recent algorithms for extracting the lognormal components of complex movements in 2, 2.5 and 3 dimensions. It also vividly reports the most advanced applications to handwriting analysis and recognition, signature and writer verification, gesture recognition and calligraphy generation, evaluation of motor skills, improvement/degradation with aging, handwriting learning, education and developmental deficits, prescreening of children with ADHD (Attention Development and Hyperactivity Disorder), monitoring of concussion recovery, diagnosis and monitoring of Alzheimer's and Parkinson's diseases and aging effects in speech and handwriting.The volume provides a unique and useful source of references on the lognormality principle, an update on the most recent advances and an outlook at the most promising future developments in e-Security, e-Learning and e-Health.
1137587578
LOGNORMALITY PRINCIPLE & APPL E-SECURITY, E-LEARN & E-HEALTH
This compendium provides a detailed account of the lognormality principle characterizing the human motor behavior by summarizing a sound theoretical framework for modeling such a behavior, introducing the most recent algorithms for extracting the lognormal components of complex movements in 2, 2.5 and 3 dimensions. It also vividly reports the most advanced applications to handwriting analysis and recognition, signature and writer verification, gesture recognition and calligraphy generation, evaluation of motor skills, improvement/degradation with aging, handwriting learning, education and developmental deficits, prescreening of children with ADHD (Attention Development and Hyperactivity Disorder), monitoring of concussion recovery, diagnosis and monitoring of Alzheimer's and Parkinson's diseases and aging effects in speech and handwriting.The volume provides a unique and useful source of references on the lognormality principle, an update on the most recent advances and an outlook at the most promising future developments in e-Security, e-Learning and e-Health.
126.0 In Stock
LOGNORMALITY PRINCIPLE & APPL E-SECURITY, E-LEARN & E-HEALTH

LOGNORMALITY PRINCIPLE & APPL E-SECURITY, E-LEARN & E-HEALTH

LOGNORMALITY PRINCIPLE & APPL E-SECURITY, E-LEARN & E-HEALTH

LOGNORMALITY PRINCIPLE & APPL E-SECURITY, E-LEARN & E-HEALTH

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Overview

This compendium provides a detailed account of the lognormality principle characterizing the human motor behavior by summarizing a sound theoretical framework for modeling such a behavior, introducing the most recent algorithms for extracting the lognormal components of complex movements in 2, 2.5 and 3 dimensions. It also vividly reports the most advanced applications to handwriting analysis and recognition, signature and writer verification, gesture recognition and calligraphy generation, evaluation of motor skills, improvement/degradation with aging, handwriting learning, education and developmental deficits, prescreening of children with ADHD (Attention Development and Hyperactivity Disorder), monitoring of concussion recovery, diagnosis and monitoring of Alzheimer's and Parkinson's diseases and aging effects in speech and handwriting.The volume provides a unique and useful source of references on the lognormality principle, an update on the most recent advances and an outlook at the most promising future developments in e-Security, e-Learning and e-Health.

Product Details

ISBN-13: 9789811226847
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 11/17/2020
Series: SERIES IN MACHINE PERCEPTION & ARTIFICIAL INTELL , #88
Sold by: Barnes & Noble
Format: eBook
Pages: 448
File size: 16 MB
Note: This product may take a few minutes to download.

Table of Contents

Foreword (George Nagy); Preface (Ré jean Plamondon, Angelo Marcelli and Miguel A Ferrer); The Lognormality Principle: A Personalized Survey (Ré jean Plamondon); Improving Handwritten Signatures Fluency via the Lognormality Principles (Moises Diaz, Miguel A Ferrer, Cristina Carmona-Duarte and Rejean Plamondon); Modeling the Complexity of Signature and Touch-Screen Biometrics using the Lognormality Principle (Ruben Vera-Rodriguez, Ruben Tolosana, Javier Hernandez-Ortega, Alejandro Acien, Aythami Morales, Julian Fierrez and Javier Ortega-Garcia); Could Sigma-Lognormal Modeling Help Teachers to Characterize the Kinematic Efficiency of Pupils' Cursive Procedures of Handwriting? (Ré mi Cé line, Jimmi Nagau, Jean Vaillant and Ré jean Plamondon); Kinematic Analysis of Fast Pen Strokes in Children with ADHD using the Sigma-Lognormal Model (Nadir Faci, Hung Tuan Nguyen, Patricia Laniel, Bruno Gauthier, Miriam H Beauchamp, Masaki Nakagawa and Ré jean Plamondon); Lognormality in Children with Mild Traumatic Brain Injury : A Preliminary Pilot Study (Nadir Faci, Naddley Dé siré , Miriam H Beauchamp, Isabelle Gagnon and Ré jean Plamondon); Evaluating Parkinson's Disease in Voice and Handwriting using the same Methodology (Cristina Carmona-Duarte, Miguel A Ferrer, Pedro Gó mez-Vilda, Arend W A Van Gemmert and Ré jean Plamondon); Sigma-Lognormal Modelling to Assess Mobility Deficits: The Case of Turn Signature Assessed with Inertial Measurement Units (IMUs) (Karina Lebel, Christian Duval, Ré jean Plamondon, Nadir Faci and Patrick Boissy); Investigating the Sigma-Lognormal Model for Parkinson's Disease Handwriting Classification (Fabrizio Balducci, Vincenzo Dentamaro, Donato Impedovo, Giuseppe Pirlo, Lucia sarcinella, Gennaro Vesio); Stroke Gesture Synthesis and Applications in Human-Computer Interaction (Luis A Leiva, Daniel Martín-Albo, Radu-Daniel Vatavu and Ré jean Plamondon); Kinematics Reconstruction of Calligraphic Traces from Curvilinear Shape Features (Daniel Berio, Frederic Fol Leymarie and Ré jean Plamondon); An Interactive Tablet-based System to Run Neuromuscular Tests (Nadir Faci, Simon Pierre Boyogueno Bidias, Ré jean Plamondon and Nicolas Bergero); Extracting the Motor Program of Handwriting From Its Lognormal Representation (Antonio Parziale, Roberto Parisi and Angelo Marcelli); On the Use of Interval Arithmetic for the Branch and Bound Delta Log-Normal Parameter Extraction of Rapid Human Movements (Simon Pierre Boyogueno Bidias, Jean Pierre David, Yvon Savaria and Ré jean Plamondon); Modeling 3D Movements with the Kinematic Theory of Rapid Human Movements (Andreas Fisher, Roman Schindler, Manuel Bouillon and Ré jean Plamondon); Conclusion (Ré jean Plamondon, Angelo Marcelli and Miguel A Ferrer); Appendices: Exploring the 3D Kinematics for Brain Stroke Rehabilitation (Alicia Forné s, Asma Bensalah, Cristina Carmona-Duarte, Miguel A Ferrer, Andreas Fischer, Josep Lladó s, Eloy Opisso, Ré jean Plamondon, Josep Maria Tormos); Rationale of Use of the Lognormal Model in the Discovery of Clinical Biomarkers in Parkinson Syndromes (Pierre Blanchet, Karina Lebel, Cristina Carmona Duarte, Nadir Faci, Ré jean Plamondon); Cycling Training and Parkinson Disease (Alexandra Nadeau Arnaud Boré , Ovidiu Lungu, Julien Doyon, Ré jean Plamondon); Eye Saccades and Alzheimer Disease (Joan Carbo, Nicole Vincent, Koi Zapula, Ré jean Plamondon); The Lognormal Model for the Early Diagnosis of Neurodegenerative Diseases (Angelo Marcelli, Antonio Parziale, Rosa Senatore, Claudio De Stefano, Francesco Fontanella, Nicole Dalia Cilia); Characterizing the Graphic Skills of Children with the Sigma-Lognormal Model (Ana Rita Matias Batalha, Helena Coradinha, Filipe Melo, Nadir Faci, Ré jean Pamondon); Applying the Kinematic Theory to Detect Shoulder Neuromuscular Fatigue: Case of A Horizontal Oscillatory Movement (Anaïs Laurent, Mickael Begon, Ré jean Plamondon); The Link Between the Lognormality Principle and the Monitoring of High-Performance Paracyclists (François Bergeron, Miriam Paquette, Nadir Faci, Ré jean Plamondon); Applying the Kinematic Theory to Track Athletes Performances Overtime (Nadir Faci, Baptiste Galant, Ré jean Plamondon); Lognormality for Signature Biometrics Analysis: Age Effect and Forgeries Detection (Marta Gomez-Barrero, Javier Galbally, Ré jean Plamondon); Sigma-Lognormal Model for Synthetic Hand-Writing Generation (Chetan Ramaiah, Venu Govindaraju, Ré jean Plamondon); Studying the Principle of Lognormality in Livestocks (Moises Diaz, Miguel A Ferrer, Sergio Martin, Julio Rufo, Elena Carreton, Cristina Carmona, Anselmo Gracia); Biophysical Interpretations of the Proportionality Hypothesis (Ben Braithwaite, Mickael Begon, Ré jean Plamondon); Applying the Delta-Lognormal Model to Simple 3D Hand Movements (Saad Chidami, Mylène Archambault, Ré jean Plamondon); 3D iDeLog: Sigma-Lognormal Model for 3D Human Movements (Miguel Ferrer, Moises Diaz, Cristina Carmona Duarte, Ré jean Plamondon)
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