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Книга Kinesthetic Perception Subhasis Chaudhuri

Kinesthetic Perception

A Machine Learning Approach

Автор: Subhasis Chaudhuri, Amit Bhardwaj
Език: Английски език
Корици: С твърди корици
Издател: Springer Verlag, Singapore
Наличност: Налично при издателя, по поръчка
Изпращаме след 17-27 дни
116.81 € 228.45 лв
This book focuses on the study of possible adaptive sampling mechanisms for haptic data compression...

Информация за книгата

Автор
Subhasis Chaudhuri, Amit Bhardwaj
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2017
страници
138
EAN
9789811066917
ISBN
9811066914
Enbook ID
18131334
Издател
Springer Verlag, Singapore
Теглоt
3895
Размери
155 x 235 x 13

Пълно описание

This book focuses on the study of possible adaptive sampling mechanisms for haptic data compression aimed at applications like tele-operations and tele-surgery. Demonstrating that the selection of the perceptual dead zones is a non-trivial problem, it presents an exposition of various issues that researchers must consider while designing compression algorithms based on just noticeable difference (JND). The book begins by identifying perceptually adaptive sampling strategies for 1-D haptic signals, and goes on to extend the findings on multidimensional signals to study directional sensitivity, if any. The book also discusses the effect of the rate of change of kinesthetic stimuli on the JND, temporal resolution for the perceivability of kinesthetic force stimuli, dependence of kinesthetic perception on the task being performed, the sequential effect on kinesthetic perception, and, correspondingly, on the perceptual dead zone. Offering a valuable resource for researchers, professionals, and graduate students working on haptics and machine perception studies, the book can also support interdisciplinary work focused on automation in surgery.

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