Abstract
This paper introduces our work towards implementing eye tracking on commodity devices. We describe our feature-based approach and the eye tracking system working on a commodity tablet. We recorded the data of 5 subjects following an animation on screen as reference. On the assumption that the position of device and user's head is stable, the average distance error between estimated gaze point to actual gaze point is around 12.23 [mm] using user-dependent training.
| Original language | English |
|---|---|
| Pages | 738-739 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2013 Jan 1 |
| Externally published | Yes |
| Event | 2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 - Naha, Okinawa, Japan Duration: 2013 Nov 5 → 2013 Nov 8 |
Other
| Other | 2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 |
|---|---|
| Country | Japan |
| City | Naha, Okinawa |
| Period | 13/11/5 → 13/11/8 |
Keywords
- Eye gaze
- Eyetracking
- IOS
- IPad
- Reading
- Tablet
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
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Ishimaru, S., Kunze, K., Utsumi, Y., Iwamura, M., & Kise, K. (2013). Where are you looking at? - Feature-based eye tracking on unmodified tablets. 738-739. Paper presented at 2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013, Naha, Okinawa, Japan. https://doi.org/10.1109/ACPR.2013.190