Man-Machine Interactions 2

Man-Machine Interactions 2

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Man-machine interaction is the interdisciplinary field, focused on a human and a machine in conjunction. It is the intersection of computer science, behavioural sciences, social psychology, ergonomics, security. It encompasses study, design, implementation, and evaluation of small- and large-scale, interacting, computing, hardware and software systems dedicated for human use. Man-machine interaction builds on supportive knowledge from both sides, the machine side providing techniques, methods and technologies relevant for computer graphics, visualisation, programming environments, the human side bringing elements of communication theory, linguistics, social sciences, models of behaviour. The discipline aims to improve ways in which machines and their users interact, making hardware and software systems better adapted to user's needs, more usable, more receptive, and optimised for desired properties. This monograph is the second edition in the series, providing the reader with a selection of high-quality papers dedicated to current progress, new developments and research trends in man-machine interactions area. In particular, the topical subdivisions of this volume include human-computer interfaces, robot control and navigation systems, bio-data analysis and mining, pattern recognition for medical applications, sound, text and image processing, design and decision support, rough and fuzzy systems, crisp and fuzzy clustering, prediction and regression, algorithms and optimisation, and data management systems.In this section, we will outline the system platform details as well as give sample results with both the DWT method as well as the hybrid ... The proposed system was implemented using MATLAB on Windows PC with inbuilt functions such as Wavelet toolbox to perform the ... However the Zernike moment feature extraction and reconstruction functions were implemented using basic functions in MATLAB .

Title:Man-Machine Interactions 2
Author:Tadeusz Czachorski, Stanislaw Kozielski, Urszula Stanczyk
Publisher:Springer Science & Business Media - 2011-08-30


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