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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Szeghalmy, Szilvia Zichar, Marianna Fazekas, Attila |
| Copyright Year | 2014 |
| Description | Author affiliation: Department of Computer Graphics and Image Processing, University of Debrecen, H-4010 Pf. 12, Hungary (Szeghalmy, Szilvia; Zichar, Marianna; Fazekas, Attila) |
| Abstract | This paper introduces a vision-based gesture mouse system, which is roughly independent from the lighting conditions, because it only uses the depth data for hand sign recognition. A Kinect sensor was used to develop the system, but other depth sensing cameras are adequate as well, if their resolutions are similar or better than the resolution of Kinect sensor. Our aim was to find a comfortable, user-friendly solution, which can be used for a long time without getting tired. The implementation of the system was developed in C++, and two types of test were performed too. We investigated how fast the user can position with the cursor and click on objects and we also examined which controls of the graphical user interfaces (GUI) are easy to use and which ones are difficult to use with our gesture mouse. Our system is precise enough to use efficiently most of the elements of traditional GUI such as buttons, icons, scrollbars, etc. The accuracy achieved by advanced users is only slightly below as if they used the traditional mouse. |
| Starting Page | 419 |
| Ending Page | 424 |
| File Size | 2381701 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479972807 |
| DOI | 10.1109/CogInfoCom.2014.7020491 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-05 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers Accuracy Conferences Thumb Mice Indexes Graphical user interfaces |
| Content Type | Text |
| Resource Type | Article |
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