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Conference Paper: Integrating the Kinect camera, gesture recognition and mobile devices for interactive discussion

TitleIntegrating the Kinect camera, gesture recognition and mobile devices for interactive discussion
Authors
KeywordsDepth camera
E-learning systems
Gesture recognition
Interactive discussion
Mobile devices
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6337030
Citation
The 1st IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE 2012), Hong Kong, China, 20-23 August 2012. In Conference Proceedings, 2012, p. H4C11-H4C13 How to Cite?
AbstractThe Microsoft Kinect camera is a revolutionary and useful depth camera giving new user experience of interactive gaming on the Xbox platform through gesture or motion detection. Besides the infrared-based depth camera, an array of built-in microphones for voice command is installed along the horizontal bar of the Kinect camera. As a result, there are increasing interests to apply the Kinect camera for various real-life applications including the control of squirt guns for outdoor swimming pools. In additional to the Kinect camera, mobile devices such as the smartphones readily integrated with motion sensors have been used for different real-time control tasks like the remote control of robots. In this project, we propose to integrate the Microsoft Kinect camera together with the smartphones as intelligent control for interactive discussion or presentation for the future e-learning system. To demonstrate the feasibility of our proposal, a prototype of our proposed gesture recognition and command specification software is built using the C# language on the MS.NET platform, and will be evaluated with a careful plan. Furthermore, there are many interesting directions for further investigation of our proposal. © 2012 IEEE.
DescriptionSession H4C
Persistent Identifierhttp://hdl.handle.net/10722/165162
ISBN

 

DC FieldValueLanguage
dc.contributor.authorTam, Ven_US
dc.contributor.authorLi, LSen_US
dc.date.accessioned2012-09-20T08:15:56Z-
dc.date.available2012-09-20T08:15:56Z-
dc.date.issued2012en_US
dc.identifier.citationThe 1st IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE 2012), Hong Kong, China, 20-23 August 2012. In Conference Proceedings, 2012, p. H4C11-H4C13en_US
dc.identifier.isbn978-1-4673-2418-2-
dc.identifier.urihttp://hdl.handle.net/10722/165162-
dc.descriptionSession H4C-
dc.description.abstractThe Microsoft Kinect camera is a revolutionary and useful depth camera giving new user experience of interactive gaming on the Xbox platform through gesture or motion detection. Besides the infrared-based depth camera, an array of built-in microphones for voice command is installed along the horizontal bar of the Kinect camera. As a result, there are increasing interests to apply the Kinect camera for various real-life applications including the control of squirt guns for outdoor swimming pools. In additional to the Kinect camera, mobile devices such as the smartphones readily integrated with motion sensors have been used for different real-time control tasks like the remote control of robots. In this project, we propose to integrate the Microsoft Kinect camera together with the smartphones as intelligent control for interactive discussion or presentation for the future e-learning system. To demonstrate the feasibility of our proposal, a prototype of our proposed gesture recognition and command specification software is built using the C# language on the MS.NET platform, and will be evaluated with a careful plan. Furthermore, there are many interesting directions for further investigation of our proposal. © 2012 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6337030en_US
dc.relation.ispartofIEEE International Conference on Teaching, Assessment and Learning for Engineering Proceedingsen_US
dc.rightsIEEE International Conference on Teaching, Assessment and Learning for Engineering Proceedings. Copyright © IEEE.-
dc.rights©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectDepth camera-
dc.subjectE-learning systems-
dc.subjectGesture recognition-
dc.subjectInteractive discussion-
dc.subjectMobile devices-
dc.titleIntegrating the Kinect camera, gesture recognition and mobile devices for interactive discussionen_US
dc.typeConference_Paperen_US
dc.identifier.emailTam, V: vtam@eee.hku.hken_US
dc.identifier.authorityTam, V=rp00173en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TALE.2012.6360362-
dc.identifier.scopuseid_2-s2.0-84871476127-
dc.identifier.hkuros206483en_US
dc.identifier.spageH4C11-
dc.identifier.epageH4C13-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 130917-

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