Kinesthetic Perception

A Machine Learning Approach

  • Subhasis Chaudhuri
  • Amit Bhardwaj

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

Introduction

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.

Keywords

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

Authors and affiliations

  • Subhasis Chaudhuri
    • 1
  • Amit Bhardwaj
    • 2
  1. 1.Department of Electrical EngineeringIndian Institute of Technology BombayMumbaiIndia
  2. 2.Department of Electrical EngineeringIndian Institute of Technology BombayMumbaiIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-6692-4
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-6691-7
  • Online ISBN 978-981-10-6692-4
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book