NDLI logo
  • Content
  • Similar Resources
  • Metadata
  • Cite This
  • Log-in
  • Fullscreen
Log-in
Do not have an account? Register Now
Forgot your password? Account recovery
  1. IEEE Transactions on Affective Computing
  2. Year : 2014 Volume : 5
  3. Issue 1
  4. Making Tactile Textures with Predefined Affective Properties
Loading...

Please wait, while we are loading the content...

Year : 2015 Volume : 6
Year : 2014 Volume : 5
Issue 4
Issue 3
Issue 2
Issue 1
Guest Editorial: Emotion in Games
The Mind Module—Using an Affectand Personality Computational Modelas a Game-Play Element
Do Prospect-Based Emotions EnhanceBelievability of Game Characters? A CaseStudy in the Context of a Dice Game
GAMYGDALA: An Emotion Engine for Games
Affect and Engagement in Game-BasedLearning Environments
Making Tactile Textures with Predefined Affective Properties
Multi-View Facial Expression Recognition Based on Group Sparse Reduced-Rank Regression
The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions
Year : 2013 Volume : 4
Year : 2012 Volume : 3
Year : 2011 Volume : 2
Year : 2010 Volume : 1

Similar Documents

...
3D information retrieval for visual odometry system of planetary exploration rovers - A stereo vision approach

Article

...
Toward a Minimal Representation of Affective Gestures

Article

...
Local visual features extraction from texture+depth content based on depth image analysis

Article

...
Feature based prediction of the perceived and aesthetic properties of visual textures.

...
Motion machine: A new framework for motion capture signal feature prototyping

Article

...
Machine Vision Approach to Predicting Affective Properties of Tactile Textures

Article

...
Highly Parallel Algorithms for Visual-Perception-Guided Surface Remeshing

Article

...
Enhancing visual perception of shape through tactile glances

Article

...
MVSS: Michigan Visual Sonification System

Article

Making Tactile Textures with Predefined Affective Properties

Content Provider IEEE Xplore Digital Library
Author Elkharraz, G. Thumfart, S. Akay, D. Eitzinger, C. Henson, B.
Copyright Year 2010
Abstract A process for the design and manufacture of 3D tactile textures with predefined affective properties was developed. Twenty four tactile textures were manufactured. Texture measures from the domain of machine vision were used to characterize the digital representations of the tactile textures. To obtain affective ratings, the textures were touched, unseen, by 107 participants who scored them against natural, warm, elegant, rough, simple, and like, on a semantic differential scale. The texture measures were correlated with the participants' affective ratings using a novel feature subset evaluation method and a partial least squares genetic algorithm. Six measures were identified that are significantly correlated with human responses and are unlikely to have occurred by chance. Regression equations were used to select 48 new tactile textures that had been synthesized using mixing algorithms and which were likely to score highly against the six adjectives when touched by participants. The new textures were manufactured and rated by participants. It was found that the regression equations gave excellent predictive ability. The principal contribution of the work is the demonstration of a process, using machine vision methods and rapid prototyping, which can be used to make new tactile textures with predefined affective properties.
Sponsorship IEEE Computer Society
Starting Page 57
Ending Page 70
Page Count 14
File Size 2489827
File Format PDF
ISSN 19493045
Volume Number 5
Issue Number 1
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2014-01-01
Publisher Place U.S.A.
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Feature extraction Visualization Surface topography Visual perception Correlation Three-dimensional displays Machine vision texture Feature evaluation and selection human factors rapid prototyping
Content Type Text
Resource Type Article
Subject Software Human-Computer Interaction
  • About
  • Disclaimer
  • Feedback
  • Sponsor
  • Contact
About National Digital Library of India (NDLI)
NDLI logo

National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.

Learn more about this project from here.

Disclaimer

NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.

Feedback

Sponsor

Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.

Contact National Digital Library of India
Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302
See location in the Map
03222 282435
Mail: support@ndl.gov.in
Sl. Authority Responsibilities Communication Details
1 Ministry of Education (GoI),
Department of Higher Education
Sanctioning Authority https://www.education.gov.in/ict-initiatives
2 Indian Institute of Technology Kharagpur Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project https://www.iitkgp.ac.in
3 National Digital Library of India Office, Indian Institute of Technology Kharagpur The administrative and infrastructural headquarters of the project Dr. B. Sutradhar  bsutra@ndl.gov.in
4 Project PI / Joint PI Principal Investigator and Joint Principal Investigators of the project Dr. B. Sutradhar  bsutra@ndl.gov.in
Prof. Saswat Chakrabarti  will be added soon
5 Website/Portal (Helpdesk) Queries regarding NDLI and its services support@ndl.gov.in
6 Contents and Copyright Issues Queries related to content curation and copyright issues content@ndl.gov.in
7 National Digital Libarray of India Club (NDLI Club) Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach clubsupport@ndl.gov.in
8 Digital Preservation Centre (DPC) Assistance with digitizing and archiving copyright-free printed books dpc@ndl.gov.in
9 IDR Setup or Support Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops idr@ndl.gov.in
Cite this Content
Loading...