The Lognormality Principle and Its Applications in E-Security, E-Learning and E-Health
Edition: First edition
Series: Machine Perception and Artificial Intelligence, Bk 8 of 9
Publisher: World Scientific Publishing Co Pte Ltd
Published: 4 December 2020; 2021
Place of publication: Singapore
Language: eng
Format: Hardcover
Number of pages: 450
ISBN-13: 9789811226823
First sentence: This introductory chapter presents a survey of the stepwise developments, implementations and applications of the Kinematic Theory of human movements made over the last 25 years, culminating with the statement of the Lognormality principle, which is the corner stone of the present book.
Description: "A book with fresh ideas about explaining ourselves to ourselves, with very little about Artificial Intelligence. Explaining how we move may be easier than explaining how we think, but no less important." - Authors
Notes: Includes bibliographical references and index.
Table of contents: title: -- The Lognormality Principle: A Personalized Survey; title: -- Improving Handwritten Signatures Fluency via the Lognormality Principle; title: -- Modeling the Complexity of Signature and Touch-Screen Biometrics using the Lognormality Principle; title: -- Could Sigma-Lognormal Modeling Help Teachers to Characterize the Kinematic Efficiency of Pupils’ Cursive Procedures of Handwriting?; title: -- Classifying the Kinematic of Fast Pen Strokes in Children with ADHD using the Different Machine Learning Model; title: -- Analysing the Evolution of Children’s Neuromotor System Lognormality after Mild Traumatic Brain Injury; title: -- Evaluating Parkinson’s Disease in Voice and Handwriting Using the Same Methodology; title: -- Sigma-Lognormal Modelling to Assess Mobility Deficits: The Case of Turn Signature Assessed with Inertial Measurement Units (IMUs); title: -- Investigating the Sigma-Lognormal Model for Parkinson’s Disease Classification by Handwriting; title: -- Stroke Gesture Synthesis in Human-Computer Interaction; title: -- Kinematics Reconstruction of Static Calligraphic Traces from Curvilinear Shape Features; title: -- An Interactive Tablet-based System to Run Neuromuscular Tests; title: -- Extracting the Motor Program of Handwriting from its Lognormal Representation; title: -- On the Use of Interval Arithmetic for the Branch and Bound Delta-Lognormal Parameter Extraction of Rapid Human Movements; title: -- Modeling 3D Movements with the Kinematic Theory of Rapid Human Movements; title: -- Appendixes; title: -- Index