© 2018

Kinesthetic Perception

A Machine Learning Approach


Part of the Studies in Computational Intelligence book series (SCI, volume 748)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Subhasis Chaudhuri, Amit Bhardwaj
    Pages 1-15
  3. Subhasis Chaudhuri, Amit Bhardwaj
    Pages 17-28
  4. Subhasis Chaudhuri, Amit Bhardwaj
    Pages 29-53
  5. Subhasis Chaudhuri, Amit Bhardwaj
    Pages 55-68
  6. Subhasis Chaudhuri, Amit Bhardwaj
    Pages 69-88
  7. Subhasis Chaudhuri, Amit Bhardwaj
    Pages 89-99
  8. Subhasis Chaudhuri, Amit Bhardwaj
    Pages 101-115
  9. Subhasis Chaudhuri, Amit Bhardwaj
    Pages 117-129
  10. Subhasis Chaudhuri, Amit Bhardwaj
    Pages 131-134
  11. Back Matter
    Pages 135-138

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.


Perceptually adaptive sampling Haptic data compression Perceptual deadzone Sequential effect Kinesthetic stimulus

Authors and affiliations

  1. 1.Department of Electrical EngineeringIndian Institute of Technology BombayMumbaiIndia
  2. 2.Department of Electrical EngineeringIndian Institute of Technology BombayMumbaiIndia

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. 

Bibliographic information

  • Book Title Kinesthetic Perception
  • Book Subtitle A Machine Learning Approach
  • Authors Subhasis Chaudhuri
    Amit Bhardwaj
  • Series Title Studies in Computational Intelligence
  • Series Abbreviated Title Studies Comp.Intelligence
  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-981-10-6691-7
  • Softcover ISBN 978-981-13-4931-7
  • eBook ISBN 978-981-10-6692-4
  • Series ISSN 1860-949X
  • Series E-ISSN 1860-9503
  • Edition Number 1
  • Number of Pages XV, 138
  • Number of Illustrations 6 b/w illustrations, 44 illustrations in colour
  • Topics Robotics and Automation
    Artificial Intelligence
    Control and Systems Theory
  • Buy this book on publisher's site
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