Multi-touch haptic gesture recognition from examples

Gestural interaction has been identified as an important component of modern multimodal interfaces because a collection of simple 2D gestures can represent myriads of various actions. Developers at present are required to manually code haptic gesture recognition into their touch screen applications,...

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Main Authors: Chua, Angela Faye C., Chua, Nellie Margaret S., Tinay, Demi Rose P., Ureta, Danielle Erika Y.
Format: text
Language:English
Published: Animo Repository 2010
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/12142
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-12787
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-127872022-11-09T02:40:00Z Multi-touch haptic gesture recognition from examples Chua, Angela Faye C. Chua, Nellie Margaret S. Tinay, Demi Rose P. Ureta, Danielle Erika Y. Gestural interaction has been identified as an important component of modern multimodal interfaces because a collection of simple 2D gestures can represent myriads of various actions. Developers at present are required to manually code haptic gesture recognition into their touch screen applications, making development harder since they have to consider various factors like finger offsets, incidence angles, etc. To save developers time and effort in application development, there is a need for building and making available a gesture library. Thus, the proponents developed a toolkit that recognizes gestures from examples and integrate trained gestures into touch screen applications for handheld devices. 2010-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/12142 Bachelor's Theses English Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
description Gestural interaction has been identified as an important component of modern multimodal interfaces because a collection of simple 2D gestures can represent myriads of various actions. Developers at present are required to manually code haptic gesture recognition into their touch screen applications, making development harder since they have to consider various factors like finger offsets, incidence angles, etc. To save developers time and effort in application development, there is a need for building and making available a gesture library. Thus, the proponents developed a toolkit that recognizes gestures from examples and integrate trained gestures into touch screen applications for handheld devices.
format text
author Chua, Angela Faye C.
Chua, Nellie Margaret S.
Tinay, Demi Rose P.
Ureta, Danielle Erika Y.
spellingShingle Chua, Angela Faye C.
Chua, Nellie Margaret S.
Tinay, Demi Rose P.
Ureta, Danielle Erika Y.
Multi-touch haptic gesture recognition from examples
author_facet Chua, Angela Faye C.
Chua, Nellie Margaret S.
Tinay, Demi Rose P.
Ureta, Danielle Erika Y.
author_sort Chua, Angela Faye C.
title Multi-touch haptic gesture recognition from examples
title_short Multi-touch haptic gesture recognition from examples
title_full Multi-touch haptic gesture recognition from examples
title_fullStr Multi-touch haptic gesture recognition from examples
title_full_unstemmed Multi-touch haptic gesture recognition from examples
title_sort multi-touch haptic gesture recognition from examples
publisher Animo Repository
publishDate 2010
url https://animorepository.dlsu.edu.ph/etd_bachelors/12142
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