DocumentCode
578683
Title
Integrating the Kinect camera, gesture recognition and mobile devices for interactive discussion
Author
Tam, Vincent ; Li, Ling-Shan
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
fYear
2012
fDate
20-23 Aug. 2012
Abstract
The 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.
Keywords
cameras; computer aided instruction; gesture recognition; interactive systems; mobile handsets; C# language; MS.NET platform; Microsoft Kinect camera; Xbox platform; built-in microphones; e-learning system; gesture detection; gesture recognition; infrared-based depth camera; intelligent control; interactive discussion; interactive gaming; mobile devices; motion detection; motion sensors; smartphones; squirt guns; voice command; Cameras; Encyclopedias; Prototypes; Real-time systems; Servers; Smart phones; depth camera; e-learning systems; gesture recognition; interactive discussion; mobile devices;
fLanguage
English
Publisher
ieee
Conference_Titel
Teaching, Assessment and Learning for Engineering (TALE), 2012 IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-2417-5
Electronic_ISBN
978-1-4673-2416-8
Type
conf
DOI
10.1109/TALE.2012.6360362
Filename
6360362
Link To Document