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Abstract
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.
Original language | English |
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Title of host publication | 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 Computers |
Number of pages | 4 |
Publisher | Association for Computing Machinery |
Publication date | 2015 |
Pages | 873-879 |
ISBN (Electronic) | 978-1-4503-3575-1 |
DOIs | |
Publication status | Published - 2015 |
Event | The 19th annual International Symposium on Wearable Computers - Osaka-Japan, Osaka, Japan Duration: 7 Sept 2015 → 11 Sept 2015 Conference number: 19 http://wikicfp.com/cfp/servlet/event.showcfp?eventid=42593©ownerid=3761 |
Conference
Conference | The 19th annual International Symposium on Wearable Computers |
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Number | 19 |
Location | Osaka-Japan |
Country/Territory | Japan |
City | Osaka |
Period | 07/09/2015 → 11/09/2015 |
Internet address |
Keywords
- Gaze tracking
- Eyewear computer
- Android
- Google Glass
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Dive into the research topics of 'EyeDroid: An Open Source Mobile Gaze Tracker on Android for Eyewear Computers'. Together they form a unique fingerprint.Projects
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iCareNet: Intelligent Context-Aware Systems for Healthcare, Wellness, and Assisted Living
Bardram, J. (PI), Houben, S. (CoI), Pederson, T. (CoI) & Jalaliniya, S. (CoI)
01/01/2011 → 31/12/2014
Project: Research