The Lognormality Principle and its Applications in e-Security, e-Learning and 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.Contents: Epigraph Foreword (George Nagy) Preface (Réjean Plamondon, Angelo Marcelli and Miguel Á Ferrer) The Lognormality Principle: A Personalized Survey (Réjean Plamondon) Improving Handwritten Signatures Fluency via the Lognormality Principle (Moises Diaz, Miguel Á Ferrer, Cristina Carmona-Duarte and Réjean 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? (Céline Rémi, Jimmi Nagau, Jean Vaillant and Réjean Plamondon) Classifying the Kinematic of Fast Pen Strokes in Children with ADHD Using the Different Machine Learning Model (Nadir Faci, Hung Tuan Nguyen, Patricia Laniel, Bruno Gauthier, Miriam H Beauchamp, Masaki Nakagawa and Réjean Plamondon) Analysing the Evolution of Children's Neuromotor System Lognormality after Mild Traumatic Brain Injury (Nadir Faci, Naddley Désiré, Miriam H Beauchamp, Isabelle Gagnon and Réjean Plamondon) Evaluating Parkinson's Disease in Voice and Handwriting Using the same Methodology (Cristina Carmona-Duarte, Miguel Á Ferrer, Pedro Gómez-Vilda, Arend W A Van Gemmert and Réjean Plamondon) Sigma-Lognormal Modelling to Assess Mobility Deficits: The Case of Turn Signature Assessed with Inertial Measurement Units (IMUs) (Karina Lebel, Christian Duval, Réjean Plamondon, Nadir Faci and Patrick Boissy) Investigating the Sigma-Lognormal Model for Parkinson's Disease Classification by Handwriting (Donato Impedovo, Giuseppe Pirlo, Fabrizio Balducci, Vincenzo Dentamaro, Lucia Sarcinella and Gennaro Vesio) Stroke Gesture Synthesis in Human-Computer Interaction (Luis A Leiva, Daniel Martín-Albo, Radu-Daniel Vatavu and Réjean Plamondon) Kinematics Reconstruction of Static Calligraphic Traces from Curvilinear Shape Features (Daniel Berio, Frederic Fol Leymarie and Réjean Plamondon) An Interactive Tablet-based System to Run Neuromuscular Tests (Nadir Faci, Simon Pierre Boyogueno Bidias, Réjean 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-Lognormal Parameter Extraction of Rapid Human Movements (Simon Pierre Boyogueno Bidias, Jean-Pierre David, Yvon Savaria and Réjean Plamondon) Modeling 3D Movements with the Kinematic Theory of Rapid Human Movements (Andreas Fisher, Roman Schindler, Manuel Bouillon and Réjean Plamondon) Conclusion (Réjean Plamondon, Angelo Marcelli and Miguel Á Ferrer) Appendices: Exploring the 3D Kinematics for Brain Stroke Rehabilitation (Alicia Fornés, Asma Bensalah, Cristina Carmona-Duarte, Miguel Á Ferrer, Andreas Fischer,...