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Erschienen in:
Vehicle Detection Using Alex Net and Faster R-CNN Deep Learning Models: A Comparative Study Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

A Conceptual Design of Spatial Calibration for Optical See-Through Head Mounted Display Using Electroencephalographic Signal Processing on Eye Tracking

verfasst von : Azfar Tomi, Dayang Rohaya Awang Rambli

Erschienen in: Advances in Visual Informatics

Verlag: Springer International Publishing

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Abstract

One of vital issue in Optical See-Through Head Mounted Display (OST HMD) used in Augmented Reality (AR) systems is frequent (re)calibrations. OST HMD calibration that involved user interaction is time consuming. It will distract users from their application, which will reduce AR experience. Additionally, (re)calibration procedure will be prone to user errors. Nowadays, there are several approaches toward interaction-free calibration on OST HMD. In this proposed work, we propose a novel approach that uses EEG signal processing on eye movement into OST HMD calibration. By simultaneously recording eye movements through EEG during a guided eye movement paradigm, a few properties of eye movement artifacts can be useful for eye localization algorithm which can be used in interaction-free calibration for OST HMD. The proposed work is expected to enhance OST HMD calibration focusing on spatial calibration formulation in term reducing 2D projection error.

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Vorheriges Kapitel People Detection and Pose Classification Inside a Moving Train Using Computer Vision
Nächstes Kapitel Review of Spatial and Non-spatial Data Transformation to 3D Geovisualization for Natural Disaster
Literatur
1.
Sutherland, I.: The ultimate display. In: Congress of the International Federation of Information Processing (IFIP), vol. 65, pp. 506–508 (1965)
2.
Caudell, T.: Augmented reality: an application of heads-up display technology to manual manufacturing processes. In: Hawaii International Conferences on Systems Sciences, pp. 659–669 (1992)
3.
Feiner, S.: Knowledge-based augmented reality. Commun. ACM 36, 53–62 (1993)CrossRef
4.
Rolland, J.: A comparison of optical and video see-through head-mounted displays. In: SPIE Telemanipulator and Telepresence Technologies, pp. 293–307 (1994)
5.
Azuma, R.: Predictive tracking for augmented reality. Ph.D. thesis. University of North Carolina, Chapel Hill, NC (1995)
6.
Reiners, D.: Augmented reality for construction tasks: doorlock assembly. In: IWAR (1998)
7.
Itoh, Y.: Calibration of head-mounted finger tracking to optical see-through head mounted display. In: ISMAR (2013)
8.
Zhou, J.: Calibration of optical see through head mounted displays for augmented reality. Ph.D. thesis. Michigan State University (2007)
9.
Klinker, G.: Augmented reality: a balancing act between high quality and real-time constraints. In: ISMR1999, pp. 325–346 (1999)
10.
Tuceryan, M.: Single point active alignment method (SPAAM) for optical see-through HMD calibration for AR. In: ISAR, pp. 149–158 (2000)
11.
Genc, Y.F.: Optical see-through HMD calibration: a stereo method validated with a video see-through system. In: ISAR, pp. 165–174 (2000)
12.
Axholt, M.: Optical see-through head mounted display direct linear transformation calibration robustness in the presence of user alignment noise. In: Human Factors and Ergonomics Society 54th Annual Meeting, pp. 2427–2431 (2010)
13.
Axholt, M.: Parameter estimation variance of the single point active alignment method in optical see-through head mounted display calibration. In: VR, pp. 27–34 (2011)
14.
Genc, Y.M.: Practical solutions for calibration of optical see-through devices. In: ISMAR, pp. 169–175 (2002)
15.
Owen, C.: Display-relative calibration for optical see-through head-mounted displays. In: ISMAR, pp. 70–78 (2004)
16.
Itoh, Y.K.: Interaction-free calibration for optical see-through head-mounted displays based on 3D eye localization. In: 3D User Interfaces (3DUI), pp. 75–82. IEEE (2014)
17.
Tsukada, A., Shino, M.: Illumination-free gaze estimation method for first-person vision wearable device. In: ICCV Workshops, pp. 2084–2091 (2011)
18.
Tsukada, A., Kanade, T.: Automatic acquisition of a 3D eye model for a wearable first-person vision device. In: Eye Tracking Research and Applications (ETRA), pp. 213–216 (2012)
19.
Ishiguro, Y.: Aided eyes: eye activity sensing for daily life. In: Augmented Human International Conference, p. 25. ACM (2010)
20.
Schneider, E.: EyeSeeCam: an eye movement-driven head camera for the examination of natural visual exploration. In: Annuals of the New York Academy of Sciences, pp. 461–467 (2009)
21.
Nitschke, C.: Corneal imaging revisited: an overview of corneal reflection analysis and applications. IPSJ Trans. Comput. Vis. Appl. 5, 1–18 (2013)CrossRef
22.
Nitschke, C., Nakazawa, A.: Image-based eye pose and reflection analysis for advanced interaction techniques and scene understanding. In: Computer Vision and Image Media (CVIM), pp. 1–16 (2011)
23.
Gao, J.: Automatic removal of eye-movement and blink artifacts from EEG signals. Brain Topogr. 23, 105–114 (2010). SpringerCrossRef
24.
Plöchl, M.: Combining EEG and eye tracking: identification, characterization, and correction of eye movement artifacts in electroencephalographic data. In: Frontiers in Human Neuroscience, p. 278. Frontiers Media S.A. (2012)
25.
Noureddin, B.: Online removal of eye movement and blink eeg artifacts using a high-speed eye tracker. Biomed. Eng. 59, 2103–2110 (2012). IEEE
26.
Nikolaev, A.R.: Eye movement-related brain activity during perceptual and cognitive processing. In: Frontiers in Systems Neuroscience, p. 62. Frontiers Media S.A. (2014)
27.
Kim, M.: Quantitative evaluation of a low-cost noninvasive hybrid interface based on EEG and eye movement. In: Neural Systems and Rehabilitation Engineering, pp. 159–168. IEEE (2015)
28.
Swirski, L., Bulling, A., Dodgson, N.: Robust real-rime pupil tracking in highly off-axis images. In: Eye Tracking Research and Applications (ETRA), pp. 173–176 (2012)
29.
Haji Samadi, M.R., Cooke, N.: EEG signal processing for eye tracking. In: 2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), pp. 2030–2034 (2014)
30.
Navab, N.: An on-line evaluation system for optical see-through augmented reality. In: VR, pp. 245–246 (2004)
31.
Grubert, J.: Comparative user study of two see-through calibration methods. In: VR, pp. 269–270. IEEE (2010)
32.
Hansen, D.: In the eye of the beholder: a survey of models for eyes and gaze. Pattern Anal. Mach. Intell. 35, 478–500 (2010). IEEECrossRef
33.
Kim, K.-N.: Vision-based eye-gaze tracking for human computer interface. In: Systems, Man, and Cybernetics, pp. 324–329. IEEE (1999)
34.
Smith, K.: Tracking the multi person wandering visual focus of attention. In: 8th International Conference on Multimodal interfaces, pp. 265–272. ACM (2006)
35.
Morimoto, C.H.: Eye gaze tracking techniques for interactive applications. Comput. Vis. Image Underst. 98, 4–24 (2005)CrossRef
36.
Plopski, A., Itoh, Y., Nitschke, C., Kiyokawa, K., Klinker, G., Takemura, H.: Corneal-imaging calibration for optical see-through head-mounted displays. IEEE Trans. Vis. Comput. Graph. 21(4), 481–490 (2015)CrossRef
Metadaten
Titel
A Conceptual Design of Spatial Calibration for Optical See-Through Head Mounted Display Using Electroencephalographic Signal Processing on Eye Tracking
verfasst von
Azfar Tomi
Dayang Rohaya Awang Rambli
Copyright-Jahr
2017
Buch
Advances in Visual Informatics

Print ISBN: 978-3-319-70009-0

Electronic ISBN: 978-3-319-70010-6

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-70010-6_31