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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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 |
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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. |
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Chua, Angela Faye C. Chua, Nellie Margaret S. Tinay, Demi Rose P. Ureta, Danielle Erika Y. |
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Chua, Angela Faye C. Chua, Nellie Margaret S. Tinay, Demi Rose P. Ureta, Danielle Erika Y. Multi-touch haptic gesture recognition from examples |
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Chua, Angela Faye C. Chua, Nellie Margaret S. Tinay, Demi Rose P. Ureta, Danielle Erika Y. |
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Chua, Angela Faye C. |
title |
Multi-touch haptic gesture recognition from examples |
title_short |
Multi-touch haptic gesture recognition from examples |
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Multi-touch haptic gesture recognition from examples |
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Multi-touch haptic gesture recognition from examples |
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Multi-touch haptic gesture recognition from examples |
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multi-touch haptic gesture recognition from examples |
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2010 |
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https://animorepository.dlsu.edu.ph/etd_bachelors/12142 |
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