CYBER DEAL: 50% off all Springer eBooks | Get this offer!

Studies in Computational Intelligence

Kinesthetic Perception

A Machine Learning Approach

Authors: Chaudhuri, Subhasis, Bhardwaj, Amit

Free Preview
  • Presents a unique study of haptic perception as a machine learning problem Relates directly to the “up and coming” application areas of tele-operation and tele-surgery Includes extensive experimental validation of all outcomes studied

Buy this book

eBook 96,29 €
price for Spain (gross)
  • ISBN 978-981-10-6692-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
Softcover 124,79 €
price for Spain (gross)
About this book

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.

About the authors

Prof. Subhasis Chaudhuri received his B.Tech. Degree in Electronics and Electrical Communication Engineering from the Indian Institute of Technology Kharagpur, Kharagpur in 1985. He received his M.Sc. and Ph.D. degrees, both in Electrical Engineering, from the University of Calgary, Canada, and the University of California, San Diego, respectively. He joined the Department of Electrical Engineering at the Indian Institute of Technology Bombay, Bombay in 1990 as an Assistant Professor and is currently serving as the KN Bajaj Chair Professor. He has also served as the Head of the Department, the Dean (International Relations) and a Deputy Director. He has also served as a Visiting Professor at the University of Erlangen-Nuremberg, the Technical University of Munich and the University of Paris XI. He is a Fellow of the science and engineering Academies in India. He is a recipient of the Dr. Vikram Sarabhai Research Award (2001), the Swarnajayanti Fellowship (2003), the S.S. Bhatnagar Prize in engineering sciences (2004) and the J.C. Bose National Fellowship (2008). He is a co-author of the books ‘Depth from Defocus: A Real Aperture Imaging Approach’, ‘Motion-Free Super-Resolution’, and ‘Blind Image Deconvolution: Methods and Convergence’, all published by Springer, New York (NY). He is currently an associate editor for the journal International Journal of Computer Vision. His primary areas of research include image processing and computational haptics.
Amit Bhardwaj received his B.Tech. and M.E. degrees in Electronics and Communication Engineering from the YMCA Institute of Engineering, Faridabad, Haryana, and the Delhi College of Engineering, Delhi, in 2009 and 2011, respectively. He has recently completed his Ph.D in Electrical Engineering at the Indian Institute of Technology Bombay, Bombay, and is currently an Alexander von Humboldt Fellow at the Technical University of Munich. His current research areas include signal processing, haptics, kinesthetic perception, haptic data communication and applications of machine learning. 

Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook 96,29 €
price for Spain (gross)
  • ISBN 978-981-10-6692-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
Softcover 124,79 €
price for Spain (gross)
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Kinesthetic Perception
Book Subtitle
A Machine Learning Approach
Authors
Series Title
Studies in Computational Intelligence
Series Volume
748
Copyright
2018
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-10-6692-4
DOI
10.1007/978-981-10-6692-4
Hardcover ISBN
978-981-10-6691-7
Softcover ISBN
978-981-13-4931-7
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XV, 138
Number of Illustrations
6 b/w illustrations, 44 illustrations in colour
Topics