Gesture-based human computer interaction (HCI)

This report summarizes my experience and knowledge gained during the commitment of the final year project which is developing a C++ based gesture-based human computer interaction (HCI) program. Nowadays human body detection and human-computer interaction technology developed rapidly and more widely...

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Bibliographic Details
Main Author: Kong, Weisheng.
Other Authors: School of Electrical and Electronic Engineering
Format: Final Year Project (FYP)
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/49665
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author Kong, Weisheng.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Kong, Weisheng.
author_sort Kong, Weisheng.
collection NTU
description This report summarizes my experience and knowledge gained during the commitment of the final year project which is developing a C++ based gesture-based human computer interaction (HCI) program. Nowadays human body detection and human-computer interaction technology developed rapidly and more widely used in people’s daily life, such as Kinect, Wii, etc. However specific medium console, Xbox 360, for instance, is required for these equipments. In order to increase the compatibility in personal computer, the application developing is becoming a rising subject. By comparing and contrasting, a C++ software platform, OpenNi, which is most appropriate to meet this project’s requirements, has been chosen. After installation and configuration of all the necessary software include OpenNi, NITE, PrimeSense, OpenCV, I attempt to analysis the human skeleton, detect and track the gesture, control the mouse pointer movement with OpenNi and do the gesture recognition with OpenCV. The researching progress and code with explanation will be represent in the report, the shortage and future work has been discussed at the end.
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spelling ntu-10356/496652023-07-07T17:02:11Z Gesture-based human computer interaction (HCI) Kong, Weisheng. School of Electrical and Electronic Engineering Yuan Junsong DRNTU::Engineering::Electrical and electronic engineering::Home entertainment systems This report summarizes my experience and knowledge gained during the commitment of the final year project which is developing a C++ based gesture-based human computer interaction (HCI) program. Nowadays human body detection and human-computer interaction technology developed rapidly and more widely used in people’s daily life, such as Kinect, Wii, etc. However specific medium console, Xbox 360, for instance, is required for these equipments. In order to increase the compatibility in personal computer, the application developing is becoming a rising subject. By comparing and contrasting, a C++ software platform, OpenNi, which is most appropriate to meet this project’s requirements, has been chosen. After installation and configuration of all the necessary software include OpenNi, NITE, PrimeSense, OpenCV, I attempt to analysis the human skeleton, detect and track the gesture, control the mouse pointer movement with OpenNi and do the gesture recognition with OpenCV. The researching progress and code with explanation will be represent in the report, the shortage and future work has been discussed at the end. Bachelor of Engineering 2012-05-23T02:37:52Z 2012-05-23T02:37:52Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49665 en Nanyang Technological University 75 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Home entertainment systems
Kong, Weisheng.
Gesture-based human computer interaction (HCI)
title Gesture-based human computer interaction (HCI)
title_full Gesture-based human computer interaction (HCI)
title_fullStr Gesture-based human computer interaction (HCI)
title_full_unstemmed Gesture-based human computer interaction (HCI)
title_short Gesture-based human computer interaction (HCI)
title_sort gesture based human computer interaction hci
topic DRNTU::Engineering::Electrical and electronic engineering::Home entertainment systems
url http://hdl.handle.net/10356/49665
work_keys_str_mv AT kongweisheng gesturebasedhumancomputerinteractionhci