Kinesthetic perception : a machine learning approach /: a machine learning approach. ([2018])
- Record Type:
- Book
- Title:
- Kinesthetic perception : a machine learning approach /: a machine learning approach. ([2018])
- Main Title:
- Kinesthetic perception : a machine learning approach
- Further Information:
- Note: Subhasis Chaudhuri, Amit Bhardwaj.
- Authors:
- Bhardwaj, Amit
- Other Names:
- Chaudhuri, Subhasis
- Contents:
- Machine generated contents note: 1. Introduction -- 1.1. Basics of Haptics -- 1.1.1. Various Research Areas in Haptics -- 1.1.2. Possible Applications -- 1.2. Kinesthetic Perception -- 1.3. Perception: Aware Engineering Design -- 1.4.Organization of the Book -- References -- 2. Perceptual Deadzone -- 2.1. Haptic Data Compression -- 2.2. Perceptual Deadzone for Multidimensional Signals -- 2.3. Effect of Rate of Change of Kinesthetic Stimuli -- References -- 3. Predictive Sampler Design for Haptic Signals -- 3.1. Introduction -- 3.2. Experimental Setup -- 3.2.1. Device Setup -- 3.2.2. Signal Characteristics -- 3.2.3. Lag in User Response -- 3.2.4. Collected Data -- 3.3. Classification of Haptic Response -- 3.3.1. Performance Metric -- 3.3.2. Weber Classifier -- 3.3.3. Level Crossing Classifier -- 3.3.4. Classifiers Based on Decision Tree and Random Forests -- 3.3.5. Effect of Temporal Spacing -- 3.3.6. Significance Test for Classifiers -- 3.4. Applications in Adaptive Sampling -- References. Note continued: 4. Deadzone Analysis of 2-D Kinesthetic Perception -- 4.1. Introduction -- 4.2. Experimental Setup -- 4.2.1. Signal Characteristics and User Response -- 4.2.2. Data Statistics -- 4.3. Determination of Perceptual Deadzone -- 4.3.1. The Weber Classifier -- 4.3.2. Level Crossing Classifier -- 4.3.3. Elliptical Deadzone -- 4.3.4. Oriented Elliptical Deadzone -- References -- 5. Effect of Rate of Change of Stimulus -- 5.1. Introduction -- 5.2. Design of Experiment -- 5.2.1.Machine generated contents note: 1. Introduction -- 1.1. Basics of Haptics -- 1.1.1. Various Research Areas in Haptics -- 1.1.2. Possible Applications -- 1.2. Kinesthetic Perception -- 1.3. Perception: Aware Engineering Design -- 1.4.Organization of the Book -- References -- 2. Perceptual Deadzone -- 2.1. Haptic Data Compression -- 2.2. Perceptual Deadzone for Multidimensional Signals -- 2.3. Effect of Rate of Change of Kinesthetic Stimuli -- References -- 3. Predictive Sampler Design for Haptic Signals -- 3.1. Introduction -- 3.2. Experimental Setup -- 3.2.1. Device Setup -- 3.2.2. Signal Characteristics -- 3.2.3. Lag in User Response -- 3.2.4. Collected Data -- 3.3. Classification of Haptic Response -- 3.3.1. Performance Metric -- 3.3.2. Weber Classifier -- 3.3.3. Level Crossing Classifier -- 3.3.4. Classifiers Based on Decision Tree and Random Forests -- 3.3.5. Effect of Temporal Spacing -- 3.3.6. Significance Test for Classifiers -- 3.4. Applications in Adaptive Sampling -- References. Note continued: 4. Deadzone Analysis of 2-D Kinesthetic Perception -- 4.1. Introduction -- 4.2. Experimental Setup -- 4.2.1. Signal Characteristics and User Response -- 4.2.2. Data Statistics -- 4.3. Determination of Perceptual Deadzone -- 4.3.1. The Weber Classifier -- 4.3.2. Level Crossing Classifier -- 4.3.3. Elliptical Deadzone -- 4.3.4. Oriented Elliptical Deadzone -- References -- 5. Effect of Rate of Change of Stimulus -- 5.1. Introduction -- 5.2. Design of Experiment -- 5.2.1. Kinesthetic Force Stimulus -- 5.2.2. Data Collection -- 5.3. System Correction -- 5.4. Estimation of Decision Boundary -- 5.4.1. Parametric Decision Boundary -- 5.4.2. Nonparametric Decision Boundary -- 5.5. Analysis of Results -- References -- 6. Temporal Resolvability of Stimulus -- 6.1. Introduction -- 6.1.1. Motivation for the Study -- 6.1.2. Related Work -- 6.1.3. Our Approach -- 6.2. Experimental Setup -- 6.2.1. Signal Characteristics -- 6.2.2. Data Collection -- 6.3. Estimation of Temporal Resolution. Note continued: 6.4. Effect of Fatigue -- 6.5. Application in Data Communication -- References -- 7. Task Dependence of Perceptual Deadzone -- 7.1. Introduction -- 7.1.1. Objective of the Study -- 7.1.2. Prior Work -- 7.1.3. Our Approach -- 7.2. Design of Experiment -- 7.2.1. Kinesthetic Force Stimulus -- 7.2.2. Data Statistics -- 7.3. Estimation of Perceptual Deadzones -- References -- 8. Sequential Effect on Kinesthetic Perception -- 8.1. Introduction -- 8.2. Sequential Effect -- 8.3. Quantification of Sequential Effect -- 8.3.1. Logistic Regression -- 8.3.2. Description of the Regression Model -- 8.4. Analysis of Effect on Comparative Task -- 8.5. Analysis of Effect on Discriminative Task -- References -- 9. Conclusions. … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource (xv, 138 pages), 50 illustrations, 44 illustrations in color
- Subjects:
- 629.892
Haptic devices
Machine learning
Robotics
Engineering
Automation
Artificial intelligence
Automatic control
Electronic books
Electronic book - Languages:
- English
- ISBNs:
- 9789811066924
9811066922 - Related ISBNs:
- 9789811066917
9811066914 - Notes:
- Note: Includes bibliographical references and index.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.406461
- Ingest File:
- 02_478.xml