Gesture-based interaction framework
Traditional human computer interaction usually involves the usage of mouse and keyboard as the input from the user. Natural interaction using gestures, postures and movement to communicate with the computer allows the interaction become more intuitive as the interaction is centralized around the us...
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2013
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sg-ntu-dr.10356-520702023-03-03T20:54:40Z Gesture-based interaction framework Lim, Boon Khai. Seah Hock Soon School of Computer Engineering Game Lab DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Traditional human computer interaction usually involves the usage of mouse and keyboard as the input from the user. Natural interaction using gestures, postures and movement to communicate with the computer allows the interaction become more intuitive as the interaction is centralized around the users themselves. Out of many gestures, hand and finger gesture is a popular and one of the most used gestures to interact with each other. This project aims to explore and develop a gesture-based interaction framework to support and enhance the user experience in using or designing gesture-based interaction system. The focus of this project will be on the tracking of user hand gesture, as well as the research on finger detection algorithm. The whole project was built on the Qt framework. OpenNI and PrimeSense NITE were utilized as the middleware to communicate with the sensor devices. Last but not least, the finger detection algorithm was implemented with the OpenCV libraries. Bachelor of Engineering (Computer Science) 2013-04-22T04:11:30Z 2013-04-22T04:11:30Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/52070 en Nanyang Technological University 50 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Lim, Boon Khai. Gesture-based interaction framework |
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Traditional human computer interaction usually involves the usage of mouse and keyboard as the input from the user. Natural interaction using gestures, postures and movement to communicate with the computer allows the interaction become more intuitive as the interaction is centralized around the users themselves. Out of many gestures, hand and finger gesture is a popular and one of the most used gestures to interact with each other. This project aims to explore and develop a gesture-based interaction framework to support and enhance the user experience in using or designing gesture-based interaction system. The focus of this project will be on the tracking of user hand gesture, as well as the research on finger detection algorithm.
The whole project was built on the Qt framework. OpenNI and PrimeSense NITE were utilized as the middleware to communicate with the sensor devices. Last but not least, the finger detection algorithm was implemented with the OpenCV libraries. |
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Seah Hock Soon |
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Seah Hock Soon Lim, Boon Khai. |
format |
Final Year Project |
author |
Lim, Boon Khai. |
author_sort |
Lim, Boon Khai. |
title |
Gesture-based interaction framework |
title_short |
Gesture-based interaction framework |
title_full |
Gesture-based interaction framework |
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Gesture-based interaction framework |
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Gesture-based interaction framework |
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gesture-based interaction framework |
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2013 |
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http://hdl.handle.net/10356/52070 |
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1759854262923296768 |