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.

This book presents 17 selected papers from the 4th International Graphonomics Society Conference, held at the University of Trondheim (Norway) in July 1989. It focusses on different aspects of automatic processing of handwriting by computer. The book is divided into three sections. The first one surveys the research works done on automatic signature verification over the last 25 years. The second section deals with problems related to the design of on-line cursive script recognition and the implementation of this technology into an electronic pen pad. The third section focusses on the integration of contextual knowledge in these systems.