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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shuai Zhang Wenrui He Qiao Yu Xiaojuan Zheng |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Software Engineering, Northeast Normal University, Changchun, China (Shuai Zhang; Wenrui He; Qiao Yu; Xiaojuan Zheng) |
| Abstract | An interactive whiteboard is a large interactive display that connects to a computer and projector. A projector projects the computer's desktop onto the board's surface where users control the computer using a pen, finger, stylus, or other device. The board is typically mounted to a wall or floor stand. The majority of IWBs sold globally involve one of four forms of interaction between the user and the content projected on the whiteboard. These are an infrared scan technology, a resistive, touch-based board, an electromagnetic pen and associated software, and an ultrasonic pen. This paper's purpose is researching the infrared LED pen, and it starts at the foundational infrared scan technology. Taking the interactive whiteboard's advanced achievement using the Kinect as reference, this paper confirms its research routes and innovative points. This paper presents a lowcost interactive whiteboard by positioning the infrared LED pen with particular sign accurately by analyzing depth and IR data of Kinect. The system excluded the interference of Kinect's infrared light and implemented the right-mouse simulation by identifying the infrared LED pen's two brightness modes. It is combined with CUDA platform and OpenCV Library to speed-up image process and obtain high real-time performance. This lowcost interactive whiteboard using the Kinect can be used in a variety of settings, including classrooms at all levels of education, in corporate board rooms and work groups, in training rooms for professional sports coaching, in broadcasting studios and many others. Furthermore, this study demonstrates the potential application of good scientific and practical values. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 3820508 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467325479 |
| e-ISBN | 9781467325462 |
| DOI | 10.1109/IASP.2012.6424988 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers Kinect CUDA Accuracy Image recognition Fingers OpenCV Graphics processing units Light emitting diodes Cameras whiteboard |
| Content Type | Text |
| Resource Type | Article |
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