research-article

EyeDroid: an open source mobile gaze tracker on Android for eyewear computers

Authors:

Shahram Jalaliniya,

Diako Mardanbegi,

Ioannis Sintos,

Daniel Garcia GarciaAuthors Info & Claims

UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers

Pages 873 - 879

https://doi.org/10.1145/2800835.2804336

Published: 07 September 2015 Publication History

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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 degrees and a battery lifetime of approximate 4.5 hours.

References

[1]

Haytham gaze tracker. http://itu.dk/research/eye/, June 2014.

Google Scholar

[2]

Ferhat, O., Vilarino, F., and Sánchez, F. A cheap portable eye-tracker solution for common setups. Journal of Eye Movement Research 7, 3 (2014), 2.

Crossref

Google Scholar

[3]

Jalaliniya, S., Mardanbeigi, D., Pederson, T., and Hansen, D. Head and eye movement as pointing modalities for eyewear computers. In BSN Workshops, 2014 11th International Conference on (June 2014), 50--53.

Digital Library

Google Scholar

[4]

Lab, K. Usage of usb webcam with customized galaxy nexus (android 4.0.3). http://brain.cc.kogakuin.ac.jp/research/usb-e.html.

Google Scholar

[5]

Li, D., Babcock, J., and Parkhurst, D. J. openeyes: A low-cost head-mounted eye-tracking solution. In Proceedings of the 2006 Symposium on Eye Tracking Research & Applications, ETRA '06, ACM (New York, NY, USA, 2006), 95--100.

Digital Library

Google Scholar

[6]

Lukander, K., Jagadeesan, S., Chi, H., and Müller, K. Omg!: A new robust, wearable and affordable open source mobile gaze tracker. In Proceedings of the 15th International Conference on Human-computer Interaction with Mobile Devices and Services, MobileHCI '13, ACM (New York, NY, USA, 2013), 408--411.

Digital Library

Google Scholar

[7]

Mayberry, A., Hu, P., Marlin, B., Salthouse, C., and Ganesan, D. ishadow: Design of a wearable, real-time mobile gaze tracker. In Proceedings of the 12th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys '14, ACM (New York, NY, USA, 2014), 82--94.

Digital Library

Google Scholar

[8]

Nel, E., MacKay, D., Zieliński, P., Williams, O., and Cipolla, R. Opengazer: open-source gaze tracker for ordinary webcams.

Google Scholar

[9]

Rantanen, V., Vanhala, T., Tuisku, O., Niemenlehto, P., Verho, J., Surakka, V., Juhola, M., and Lekkala, J. A wearable, wireless gaze tracker with integrated selection command source for human x2010;computer interaction. Information Technology in Biomedicine, IEEE Transactions on 15, 5 (Sept 2011), 795--801.

Digital Library

Google Scholar

[10]

Starner, T. Project glass: An extension of the self. Pervasive Computing, IEEE 12, 2 (April 2013), 14--16.

Digital Library

Google Scholar

Cited By

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Ahmed IFarrok O(2023)SwingBoard: introducing swipe based virtual keyboard for visually impaired and blind usersDisability and Rehabilitation: Assistive Technology10.1080/17483107.2023.219979319:4(1482-1493)Online publication date: 25-Apr-2023
https://doi.org/10.1080/17483107.2023.2199793
Zhang JZeng X(2022)Multi-touch gesture recognition of Braille input based on Petri Net and RBF NetMultimedia Tools and Applications10.1007/s11042-021-11156-981:14(19395-19413)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s11042-021-11156-9
Wang YLu SHarter D(2021)Multi-Sensor Eye-Tracking Systems and Tools for Capturing Student Attention and Understanding Engagement in Learning: A ReviewIEEE Sensors Journal10.1109/JSEN.2021.310570621:20(22402-22413)Online publication date: 15-Oct-2021
https://doi.org/10.1109/JSEN.2021.3105706
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Index Terms

EyeDroid: an open source mobile gaze tracker on Android for eyewear computers
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

September 2015

1626 pages

ISBN:9781450335751

DOI:10.1145/2800835

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Tanzeem Choudhury
Cornell University
,
Koji Yatani
Univerisity of Tokyo, JP

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Published: 07 September 2015

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UbiComp '15

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SIGMOBILE
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Rakuten Institute of Technology
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Panasonic
Telefónica
ISTC-PC

UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

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Ahmed IFarrok O(2023)SwingBoard: introducing swipe based virtual keyboard for visually impaired and blind usersDisability and Rehabilitation: Assistive Technology10.1080/17483107.2023.219979319:4(1482-1493)Online publication date: 25-Apr-2023
https://doi.org/10.1080/17483107.2023.2199793
Zhang JZeng X(2022)Multi-touch gesture recognition of Braille input based on Petri Net and RBF NetMultimedia Tools and Applications10.1007/s11042-021-11156-981:14(19395-19413)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s11042-021-11156-9
Wang YLu SHarter D(2021)Multi-Sensor Eye-Tracking Systems and Tools for Capturing Student Attention and Understanding Engagement in Learning: A ReviewIEEE Sensors Journal10.1109/JSEN.2021.310570621:20(22402-22413)Online publication date: 15-Oct-2021
https://doi.org/10.1109/JSEN.2021.3105706
Tuichiev SPrikhodchenko V(2021)Computer Vision in Android Application Development2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)10.1109/ElConRus51938.2021.9396468(719-723)Online publication date: 26-Jan-2021
https://doi.org/10.1109/ElConRus51938.2021.9396468
Cruz-Benito JGarcía-Peñalvo FTherón R(2019)Analyzing the software architectures supporting HCI/HMI processes through a systematic review of the literatureTelematics and Informatics10.1016/j.tele.2018.09.00638:C(118-132)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1016/j.tele.2018.09.006
Rudi DGiannopoulos IKiefer PPeier CRaubal MSandor CTeather RSuma EJohnsen K(2016)Interacting with Maps on Optical Head-Mounted DisplaysProceedings of the 2016 Symposium on Spatial User Interaction10.1145/2983310.2985747(3-12)Online publication date: 15-Oct-2016
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Alnfiai MSampalli SFeng JHuenerfauth M(2016)An Evaluation of SingleTapBraille KeyboardProceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/2982142.2982161(161-169)Online publication date: 23-Oct-2016
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Anagnostopoulos VKiefer PLukowicz PKrüger ABulling ALim YPatel S(2016)Towards gaze-based interaction with urban outdoor spacesProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct10.1145/2968219.2968339(1706-1715)Online publication date: 12-Sep-2016
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MAGIC pointing for eyewear computers

In the blink of an eye: combining head motion and eye blink frequency for activity recognition with Google Glass

Gliding and saccadic gaze gesture recognition in real time

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