Kinect gesture mobile control through wireless network for NAO robot
NAO robot remote control with gestures is a new way to control the robot. Due to the image and video processing technologies development, and the Kinect device can provide a better gesture and voices recognition than ever. Gestures control and synchronize control wer...
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sg-ntu-dr.10356-605042023-07-07T16:56:59Z Kinect gesture mobile control through wireless network for NAO robot Wei, Qianjun Song Qing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics NAO robot remote control with gestures is a new way to control the robot. Due to the image and video processing technologies development, and the Kinect device can provide a better gesture and voices recognition than ever. Gestures control and synchronize control were come out to make an easy way to control the robot. In this report, it will indicate how to define a gesture, then how to ensure the Kinect can detect the gesture and recognized it. Voice detection will be explored and voice commands will be used to control the robot as well. To make the robot like the human much more, synchronize user’s movement to the robot was used to control it, relative angle for each part of arm need to be calculated and transmit to the robot. Moreover, web page was used to control the robot with a web server, this is to ensure multiplatform accessible. Lastly, how to make a link between robot and different device were presented in the report as well. At last part of the report, relative topics are suggested for future researches as well. This report is not focus on the theories proving, but focus on the application of the knowledge. So in this report, how to implement the ideas are presented. Bachelor of Engineering 2014-05-27T09:01:40Z 2014-05-27T09:01:40Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/60504 en Nanyang Technological University 64 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics Wei, Qianjun Kinect gesture mobile control through wireless network for NAO robot |
description |
NAO robot remote control with gestures is a new way to control the robot. Due to the
image and video processing technologies development, and the Kinect device can
provide a better gesture and voices recognition than ever. Gestures control and
synchronize control were come out to make an easy way to control the robot. In this
report, it will indicate how to define a gesture, then how to ensure the Kinect can
detect the gesture and recognized it. Voice detection will be explored and voice
commands will be used to control the robot as well. To make the robot like the human
much more, synchronize user’s movement to the robot was used to control it, relative
angle for each part of arm need to be calculated and transmit to the robot. Moreover,
web page was used to control the robot with a web server, this is to ensure multiplatform accessible. Lastly, how to make a link between robot and different device
were presented in the report as well. At last part of the report, relative topics are
suggested for future researches as well. This report is not focus on the theories proving,
but focus on the application of the knowledge. So in this report, how to implement the
ideas are presented. |
author2 |
Song Qing |
author_facet |
Song Qing Wei, Qianjun |
format |
Final Year Project |
author |
Wei, Qianjun |
author_sort |
Wei, Qianjun |
title |
Kinect gesture mobile control through wireless network for NAO robot |
title_short |
Kinect gesture mobile control through wireless network for NAO robot |
title_full |
Kinect gesture mobile control through wireless network for NAO robot |
title_fullStr |
Kinect gesture mobile control through wireless network for NAO robot |
title_full_unstemmed |
Kinect gesture mobile control through wireless network for NAO robot |
title_sort |
kinect gesture mobile control through wireless network for nao robot |
publishDate |
2014 |
url |
http://hdl.handle.net/10356/60504 |
_version_ |
1772827836031172608 |