EyeDroid: An Open Source Mobile Gaze Tracker on Android for Eyewear Computers
- Shahram Jalaliniya,
- Diako Mardanbeigi,
- Ioannis Sintos,
- Daniel Garcia
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewPublication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 873-879 (4 pages)Publication milestones
- Published - 2015
Publication status
Published - 2015
Publisher
Association for Computing Machinery, United StatesISBN (Electronic)
978-1-4503-3575-1 Publication IDs
- Scopus: 84962490938
Host publication title
UbiComp '15 Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable ComputersAbstract
In this paper we report on development and evaluation of a video-based mobile gaze tracker for eyewear computers. Unlike most of the previous work, our system performs all its processing workload on an Android device and sends the coordinates of the gaze point to an eyewear device through wireless connection. We propose a lightweight software architecture for Android to increase the efficiency of image processing needed for eye tracking. The evaluation of the system indicated an accuracy of 1:06 and a battery lifetime of approximate 4.5 hours.
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Citations
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Related Event
Title
The 19th annual International Symposium on Wearable Computers
Event type
ConferenceDate
07/09/2015 - 11/09/2015Location
Osaka-JapanOsakaJapan