Where are you looking at? - Feature-based eye tracking on unmodified tablets

Shoya Ishimaru; Kai Kunze; Yuzuko Utsumi; Masakazu Iwamura; Koichi Kise

doi:10.1109/ACPR.2013.190

Where are you looking at? - Feature-based eye tracking on unmodified tablets

Shoya Ishimaru, Kai Kunze, Yuzuko Utsumi, Masakazu Iwamura, Koichi Kise

Research output: Contribution to conference › Paper › peer-review

5 Citations (Scopus)

Abstract

This paper introduces our work towards implementing eye tracking on commodity devices. We describe our feature-based approach and the eye tracking system working on a commodity tablet. We recorded the data of 5 subjects following an animation on screen as reference. On the assumption that the position of device and user's head is stable, the average distance error between estimated gaze point to actual gaze point is around 12.23 [mm] using user-dependent training.

Original language	English
Pages	738-739
Number of pages	2
DOIs	https://doi.org/10.1109/ACPR.2013.190
Publication status	Published - 2013
Externally published	Yes
Event	2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 - Naha, Okinawa, Japan Duration: 2013 Nov 5 → 2013 Nov 8

Other

Other	2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013
Country/Territory	Japan
City	Naha, Okinawa
Period	13/11/5 → 13/11/8

Keywords

Eye gaze
Eyetracking
IOS
IPad
Reading
Tablet

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ACPR.2013.190

Cite this

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abstract = "This paper introduces our work towards implementing eye tracking on commodity devices. We describe our feature-based approach and the eye tracking system working on a commodity tablet. We recorded the data of 5 subjects following an animation on screen as reference. On the assumption that the position of device and user's head is stable, the average distance error between estimated gaze point to actual gaze point is around 12.23 [mm] using user-dependent training.",

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year = "2013",

doi = "10.1109/ACPR.2013.190",

language = "English",

pages = "738--739",

note = "2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 ; Conference date: 05-11-2013 Through 08-11-2013",

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AU - Ishimaru, Shoya

AU - Kunze, Kai

AU - Utsumi, Yuzuko

AU - Iwamura, Masakazu

AU - Kise, Koichi

PY - 2013

Y1 - 2013

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AB - This paper introduces our work towards implementing eye tracking on commodity devices. We describe our feature-based approach and the eye tracking system working on a commodity tablet. We recorded the data of 5 subjects following an animation on screen as reference. On the assumption that the position of device and user's head is stable, the average distance error between estimated gaze point to actual gaze point is around 12.23 [mm] using user-dependent training.

KW - Eye gaze

KW - Eyetracking

KW - IOS

KW - IPad

KW - Reading

KW - Tablet

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T2 - 2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013

Y2 - 5 November 2013 through 8 November 2013

ER -

Where are you looking at? - Feature-based eye tracking on unmodified tablets

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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