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Reference TypeConference Paper (Conference Proceedings)
Last Update2017:
Metadata Last Update2020: administrator
Citation KeyCruzZampSilvCall:2017:ExSePr
TitleAn experimental setup and protocol for offline performance assessment of eye/gaze tracking strategies
Access Date2021, Jan. 25
Number of Files1
Size873 KiB
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Author1 Cruz, Mateus da Mota Cardoso da
2 Zampolo, Ronaldo de Freitas
3 Silva, Matthieu Perreira da
4 Callet, Patrick Le
Affiliation1 Federal University of Pará
2 Federal University of Pará
3 University of Nantes
4 University of Nantes
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ
DateOct. 17-20, 2017
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeWork in Progress
History2017-09-04 17:21:49 :: -> administrator ::
2020-02-20 22:06:46 :: administrator -> :: 2017
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Is the master or a copy?is the master
Content Stagecompleted
KeywordsExperimental setup, experimental protocol, visual attention models, low-cost eye/gaze tracking.
AbstractSeveral applications (crowdsourcing, human-computer interface, and web design, just to name a few) can largely benefit from reliable low-cost eye/gaze tracking solutions with either reduced or no-calibration procedure. Although very accurate eye/gaze trackers are currently affordable to common users, special hardware is still needed and calibration procedure remains apparent. This paper presents an experimental setup and protocol aimed at providing ground truth and supporting data to allow offline performance evaluation of different eye/gaze tracking schemes. This work is part of an ongoing research on the use of visual attention models in conjunction with eye/gaze tracking strategies for performance improvement as well as reduction of calibration phase in low-cost solutions. The proposed experimental setup hardware is composed of off-the-shelf equipment (eye/gaze tracker, conventional webcam, and a desktop computer). In turn, the control software is developed in PsychoPy/Python and made publicly available. Data acquisition components and conceived experimental protocol are discussed in details.
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Next Higher Units8JMKD3MGPAW/3PJT9LS
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