By Amit Konar,Sriparna Saha
This booklet provides a radical research of gestural information extracted from uncooked photos and/or diversity facts with an objective to acknowledge the gestures conveyed via the information. It covers snapshot morphological research, type-2 fuzzy common sense, neural networks and evolutionary computation for class of gestural info. the applying components comprise the popularity of primitive postures in ballet/classical Indian dances, detection of pathological problems from gestural facts of aged humans, controlling movement of vehicles in gesture-driven gaming and gesture-commanded robotic keep an eye on for individuals with neuro-motor disability.
The e-book is exclusive by way of its content material, originality and lucid writing kind. basically meant for graduate scholars and researchers within the box of electrical/computer engineering, the e-book will end up both worthy to laptop hobbyists and execs engaged in construction firmware for human-computer interfaces. A prerequisite of highschool point arithmetic is enough to comprehend many of the chapters within the e-book. A uncomplicated heritage in picture processing, even supposing now not crucial, will be an extra virtue for sure sections.
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Gesture Recognition: Principles, Techniques and Applications (Studies in Computational Intelligence) by Amit Konar,Sriparna Saha
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