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| Content Provider | ACM Digital Library |
|---|---|
| Author | Pelz, Jeff B. Babcock, Jason S. |
| Abstract | Eyetracking systems that use video-based cameras to monitor the eye and scene can be made significantly smaller thanks to tiny micro-lens video cameras. Pupil detection algorithms are generally implemented in hardware, allowing for real-time eyetracking. However, it is likely that real-time eyetracking will soon be fully accomplished in software alone. This paper encourages an "open-source" approach to eyetracking by providing practical tips on building a lightweight eyetracker from commercially available micro-lens cameras and other parts. While the headgear described here can be used with any dark-pupil eyetracking controller, it also opens the door to open-source software solutions that could be developed by the eyetracking and image-processing communities. Such systems could be optimized without concern for real-time performance because the systems could be run offline. |
| Starting Page | 109 |
| Ending Page | 114 |
| Page Count | 6 |
| File Format | |
| ISBN | 1581138253 |
| DOI | 10.1145/968363.968386 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2004-03-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Lightweight Eyetracking Wearable Headgear |
| Content Type | Text |
| Resource Type | Article |
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