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A collection of articles representing progress in the major areas of fundamental and applied handwriting research. Areas covered are: behavioural and cognitive science; development, education and neuroscience; computer analysis and recognition; and forensic document examination.
Graphonomics is the newly created term for the science of handwriting and other graphic skills.The Second International Conference on the Neural and Motor Aspects of Handwriting attracted contributions from experimental psychologists, neuropsychologists, neurologists, linguists, biophysicists, and computer scientists from 12 countries.This volume, the proceedings of the conference, features clinical studies of the neural basis of agraphia and dysgraphia from brain-damaged patients. The motor aspects of handwriting are further extended to new areas of interests. Research on handwriting in the English, Chinese and Japanese languages forms the first attempt in the field to investigate handwriting from the psycholinguistic perspective of different languages.
Selected papers from the Fourth Conference of the International Graphonomic Society.
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.
We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questions about power. This book brings together critical interrogations of what constitutes AI, its impact and its inequalities in order to offer an analysis of what it means for AI to deliver benefits for everyone. The book is structured in three parts: Part 1, AI: Humans vs. Machines, presents critical perspectives on human-machine dualism. Part 2, Discourses and Myths About AI, excavates metaphors and policies to ask normative questions about what is ‘desirable’ AI and what conditions make this possible. Part 3, AI Power and Inequalities, discusses how the implementation of AI creates important challenges that urgently need to be addressed. Bringing together scholars from diverse disciplinary backgrounds and regional contexts, this book offers a vital intervention on one of the most hyped concepts of our times.
Computing is transforming how we interact with music. New theories and new technologies have emerged that present fresh challenges and novel perspectives for researchers and practitioners in music and human-computer interaction (HCI). In this collection, the interdisciplinary field of music interaction is considered from multiple viewpoints: designers, interaction researchers, performers, composers, audiences, teachers and learners, dancers and gamers. The book comprises both original research in music interaction and reflections from leading researchers and practitioners in the field. It explores a breadth of HCI perspectives and methodologies: from universal approaches to situated research within particular cultural and aesthetic contexts. Likewise, it is musically diverse, from experimental to popular, classical to folk, including tango, laptop orchestras, composition and free improvisation.
This book constitutes the refereed proceedings of the 14th International Symposium on Perception, Representations, Image, Sound, Music, CMMR 2019, held in Marseille, France, in October 2019. The 46 full papers presented were selected from 105 submissions. The papers are grouped in 9 sections. The first three sections are related to music information retrieval, computational musicology and composition tools, followed by a section on notations and instruments distributed on mobile devices. The fifth section concerns auditory perception and cognition, while the three following sections are related to sound design and sonic and musical interactions. The last section contains contributions that relate to Jean-Claude Risset's research.
This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent unsupervised and semi-supervised frameworks that consider mixture models as their main tool. The chapters considers mixture models involving several interesting and challenging problems such as parameters estimation, model selection, feature selection, etc. The goal of this book is to summarize the recent advances and modern approaches related to these problems. Each contributor presents novel research, a practical study, or novel applications based on mixture models, or a survey of the literature. Reports advances on classic problems in mixture modeling such as parameter estimation, model selection, and feature selection; Present theoretical and practical developments in mixture-based modeling and their importance in different applications; Discusses perspectives and challenging future works related to mixture modeling.
The Brody-Hughston-Macrina approach to information-based asset pricing introduces a new way of looking at the mechanisms determining price movements in financial markets. The resulting theory of financial informatics is applicable across a wide range of asset classes and is distinguished by its emphasis on the explicit modelling of market information flows. In the BHM theory, each asset is defined by a collection of cash flows and each such cash flow is associated with a family of one or more so-called information processes that provide partial information about the cash flow. The theory is highly appealing on an intuitive basis: it is directly applicable to trading, investment and risk management - and yet at the same time leads to interesting mathematics. The present volume brings together a collection of 18 foundational papers of the subject by Brody, Hughston, and Macrina, many written in collaboration with various co-authors. There is a preface summarizing the current status of the theory, together with a brief history and bibliography of the subject. This book will be of great interest both to newcomers to financial mathematics as well as to established researchers in the subject.
Presents state-of-the-art sparse and multiscale image and signal processing with applications in astronomy, biology, MRI, media, and forensics.