Graphology How To Read Character From Handwriting With Full Explanation Of The Science And Many Examples Fully Analyzed

Graphology - How to Read Character From Handwriting, With Full Explanation of the Science, and Many Examples Fully Analyzed

Graphology is the art of reading character from handwriting. That there is a relationship between character and style of penmanship has long been recognized, but until recently little has been done to formulate the principles upon which this relationship is based. Enough has now been accomplished in this direction, however, to make it possible to lay down definite rules for determining one's disposition, aptitude and nature by the peculiarities of his handwriting. As a matter of pastime the author took up a study of this interesting subject several years ago. Finding it so full of entertainment and usefulness and realizing that there exists at present no popular treatise on the subject, notwithstanding the wide-spread interest and curiosity invariably aroused by an exhibition of ability to read character from handwriting, he has gathered together the results of his studies and experience, in the hope that the information here set forth may serve as a source of entertainment to the general reader and as a means of aiding those who desire to acquire a practical knowledge of graphology. The studies and investigations of the author, in conjunction with those of other students of the subject, have revealed the fact that every feature of a handwriting is indicative of some particular personal characteristic, and it is the object of this volume to point out these relationships; to show the characteristic features of handwritings and their corresponding personal indications, and, generally, to present the subject in such form as to make it readily possible for any one to demonstrate to his own satisfaction the relationship of character to chirography.

Graphology

Application of Intelligent Systems in Multi-modal Information Analytics

This book provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering. Specifically, it addresses a number of broad themes, including multimodal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multimodal application management; and web/social media mining for multimodal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers, and professionals and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 4th International Conference on Multi-modal Information Analytics, held online, on April 23, 2022.