Towards an intelligent framework for pressure-based 3D curve drawing

The act of controlling pressure through pencil and brush appears effortless, but to mimic this natural ability in the realm of electronic medium using tablet pen device is difficult. Previous pressure based interaction work have explored various signal processing techniques to improve the accuracy i...

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Main Authors: Lai, C.-Y., Zakaria, N.
Format: Article
Published: Springer Verlag 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906739152&doi=10.1007%2f978-3-319-11650-1_6&partnerID=40&md5=e852cc5ea078151eb1e92acc78204734
http://eprints.utp.edu.my/32078/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.320782022-03-29T04:34:10Z Towards an intelligent framework for pressure-based 3D curve drawing Lai, C.-Y. Zakaria, N. The act of controlling pressure through pencil and brush appears effortless, but to mimic this natural ability in the realm of electronic medium using tablet pen device is difficult. Previous pressure based interaction work have explored various signal processing techniques to improve the accuracy in pressure control, but a one-for-all signal processing solutions tend not to work for different curve types. We propose instead a framework which applies signal processing techniques tuned to individual curve type. A neural network classifier is used as a curve classifier. Based on the classification, a custom combination of signal processing techniques is then applied. Results obtained point to the feasibility and advantage of the approach. The results are generally applicable to the design of pressure based interaction technique and possibly unlock the potential of pressure based system for richer interactions. © 2014 Springer International Publishing. Springer Verlag 2014 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906739152&doi=10.1007%2f978-3-319-11650-1_6&partnerID=40&md5=e852cc5ea078151eb1e92acc78204734 Lai, C.-Y. and Zakaria, N. (2014) Towards an intelligent framework for pressure-based 3D curve drawing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8698 L . pp. 63-72. http://eprints.utp.edu.my/32078/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The act of controlling pressure through pencil and brush appears effortless, but to mimic this natural ability in the realm of electronic medium using tablet pen device is difficult. Previous pressure based interaction work have explored various signal processing techniques to improve the accuracy in pressure control, but a one-for-all signal processing solutions tend not to work for different curve types. We propose instead a framework which applies signal processing techniques tuned to individual curve type. A neural network classifier is used as a curve classifier. Based on the classification, a custom combination of signal processing techniques is then applied. Results obtained point to the feasibility and advantage of the approach. The results are generally applicable to the design of pressure based interaction technique and possibly unlock the potential of pressure based system for richer interactions. © 2014 Springer International Publishing.
format Article
author Lai, C.-Y.
Zakaria, N.
spellingShingle Lai, C.-Y.
Zakaria, N.
Towards an intelligent framework for pressure-based 3D curve drawing
author_facet Lai, C.-Y.
Zakaria, N.
author_sort Lai, C.-Y.
title Towards an intelligent framework for pressure-based 3D curve drawing
title_short Towards an intelligent framework for pressure-based 3D curve drawing
title_full Towards an intelligent framework for pressure-based 3D curve drawing
title_fullStr Towards an intelligent framework for pressure-based 3D curve drawing
title_full_unstemmed Towards an intelligent framework for pressure-based 3D curve drawing
title_sort towards an intelligent framework for pressure-based 3d curve drawing
publisher Springer Verlag
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906739152&doi=10.1007%2f978-3-319-11650-1_6&partnerID=40&md5=e852cc5ea078151eb1e92acc78204734
http://eprints.utp.edu.my/32078/
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