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Kinesthetic perception = a machine l...

Chaudhuri, Subhasis.

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Kinesthetic perception = a machine learning approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Kinesthetic perception/ by Subhasis Chaudhuri, Amit Bhardwaj.
Reminder of title:	a machine learning approach /
Author:	Chaudhuri, Subhasis.
other author:	Bhardwaj, Amit.
Published:	Singapore :Springer Singapore : : 2018.,
Description:	xv, 138 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Haptic devices. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-6692-4
ISBN:	9789811066924

Kinesthetic perception = a machine learning approach /
Chaudhuri, Subhasis.

Kinesthetic perceptiona machine learning approach /[electronic resource] :by Subhasis Chaudhuri, Amit Bhardwaj. - Singapore :Springer Singapore :2018. - xv, 138 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.7481860-949X ;. - Studies in computational intelligence ;v.748..

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.

ISBN: 9789811066924

Standard No.: 10.1007/978-981-10-6692-4doiSubjects--Topical Terms:

1084619
Haptic devices.

LC Class. No.: QA76.9.H85

Dewey Class. No.: 004.77

Kinesthetic perception = a machine learning approach /
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100 1 $a Chaudhuri, Subhasis. $3 868166
245 1 0 $a Kinesthetic perception $h [electronic resource] : $b a machine learning approach / $c by Subhasis Chaudhuri, Amit Bhardwaj.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a xv, 138 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.748
520 $a 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.
650 0 $a Haptic devices. $3 1084619
650 0 $a Machine learning. $3 533906
650 1 4 $a Engineering. $3 586835
650 2 4 $a Robotics and Automation. $3 1066695
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Control. $3 1006321
700 1 $a Bhardwaj, Amit. $3 3297647
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a Studies in computational intelligence ; $v v.748. $3 3297648
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-6692-4
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