國立虎尾科技大學 |

Kinesthetic Perception = A Machine Learning Approach /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Kinesthetic Perception/ by Subhasis Chaudhuri, Amit Bhardwaj.
其他題名:	A Machine Learning Approach /
作者:	Chaudhuri, Subhasis.
其他作者:	Bhardwaj, Amit.
面頁冊數:	XV, 138 p. 50 illus., 44 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Robotics. -
電子資源:	https://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. - 1st ed. 2018. - XV, 138 p. 50 illus., 44 illus. in color.online resource. - Studies in Computational Intelligence,7481860-949X ;. - Studies in Computational Intelligence,564.

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:

561941
Robotics.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.892

Kinesthetic Perception = A Machine Learning Approach /
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