Head and eye movement as pointing modalities for eyewear computers

Shahram Jalaliniya; Diako Mardanbeigi; Thomas Pederson; Dan Witzner Hansen

Head and eye movement as pointing modalities for eyewear computers

Shahram Jalaliniya, Diako Mardanbeigi, Thomas Pederson, Dan Witzner Hansen

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Abstract

While the new generation of eyewear computers have increased expectations of a wearable computer, providing input to these devices is still challenging. Hand-held devices, voice commands, and hand gestures have already been explored to provide input to the wearable devices. In this paper, we examined using head and eye movements to point on a graphical user interface of a wearable computer. The performance of users in head and eye pointing has been compared with mouse pointing as a baseline method. The result of our experiment showed that the eye pointing is significantly faster than head or mouse pointing; however, our participants thought that the head pointing is more accurate and convenient.

Original language	English
Title of host publication	Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops
Number of pages	4
Publisher	IEEE Computer Society Press
Publication date	19 Jun 2014
ISBN (Print)	978-1-4799-6136-8
Publication status	Published - 19 Jun 2014

Keywords

Eye pointing
Gaze tracking
Head pointing
Head tracking
head-mounted display
wearable computing

Access to Document

http://www.ess.tu-darmstadt.de/gec14/

iCareNet: Intelligent Context-Aware Systems for Healthcare, Wellness, and Assisted Living
Bardram, J. (PI), Houben, S. (CoI), Pederson, T. (CoI) & Jalaliniya, S. (CoI)
European Commission
01/01/2011 → 31/12/2014
Project: Research

Cite this

@inproceedings{dbca1cc3adfe41ee9791f3802df5fa65,

title = "Head and eye movement as pointing modalities for eyewear computers",

abstract = "While the new generation of eyewear computers have increased expectations of a wearable computer, providing input to these devices is still challenging. Hand-held devices, voice commands, and hand gestures have already been explored to provide input to the wearable devices. In this paper, we examined using head and eye movements to point on a graphical user interface of a wearable computer. The performance of users in head and eye pointing has been compared with mouse pointing as a baseline method. The result of our experiment showed that the eye pointing is significantly faster than head or mouse pointing; however, our participants thought that the head pointing is more accurate and convenient.",

keywords = "Eye pointing, Gaze tracking, Head pointing, Head tracking, head-mounted display, wearable computing, Eye pointing, Gaze tracking, Head pointing, Head tracking, head-mounted display, wearable computing",

author = "Shahram Jalaliniya and Diako Mardanbeigi and Thomas Pederson and Hansen, {Dan Witzner}",

year = "2014",

month = jun,

day = "19",

language = "English",

isbn = "978-1-4799-6136-8",

booktitle = "Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops",

publisher = "IEEE Computer Society Press",

address = "United States",

}

Head and eye movement as pointing modalities for eyewear computers. / Jalaliniya, Shahram; Mardanbeigi, Diako; Pederson, Thomas et al.
Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops. IEEE Computer Society Press, 2014.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - Head and eye movement as pointing modalities for eyewear computers

AU - Jalaliniya, Shahram

AU - Mardanbeigi, Diako

AU - Pederson, Thomas

AU - Hansen, Dan Witzner

PY - 2014/6/19

Y1 - 2014/6/19

N2 - While the new generation of eyewear computers have increased expectations of a wearable computer, providing input to these devices is still challenging. Hand-held devices, voice commands, and hand gestures have already been explored to provide input to the wearable devices. In this paper, we examined using head and eye movements to point on a graphical user interface of a wearable computer. The performance of users in head and eye pointing has been compared with mouse pointing as a baseline method. The result of our experiment showed that the eye pointing is significantly faster than head or mouse pointing; however, our participants thought that the head pointing is more accurate and convenient.

AB - While the new generation of eyewear computers have increased expectations of a wearable computer, providing input to these devices is still challenging. Hand-held devices, voice commands, and hand gestures have already been explored to provide input to the wearable devices. In this paper, we examined using head and eye movements to point on a graphical user interface of a wearable computer. The performance of users in head and eye pointing has been compared with mouse pointing as a baseline method. The result of our experiment showed that the eye pointing is significantly faster than head or mouse pointing; however, our participants thought that the head pointing is more accurate and convenient.

KW - Eye pointing

KW - Gaze tracking

KW - Head pointing

KW - Head tracking

KW - head-mounted display

KW - wearable computing

KW - Eye pointing

KW - Gaze tracking

KW - Head pointing

KW - Head tracking

KW - head-mounted display

KW - wearable computing

M3 - Article in proceedings

SN - 978-1-4799-6136-8

BT - Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops

PB - IEEE Computer Society Press

ER -

Head and eye movement as pointing modalities for eyewear computers

Abstract

Keywords

Access to Document

Fingerprint

Projects

iCareNet: Intelligent Context-Aware Systems for Healthcare, Wellness, and Assisted Living

Cite this