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3D gaze estimation in the scene volume with a head-mounted eye tracker

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Autor(es):
Elmadjian, Carlos ; Shukla, Pushkar ; Tula, Antonio Diaz ; Morimoto, Carlos H. ; Spencer, SN
Número total de Autores: 5
Tipo de documento: Artigo Científico
Fonte: COMMUNICATION BY GAZE INTERACTION (COGAIN 2018); v. N/A, p. 9-pg., 2018-01-01.
Resumo

Most applications involving gaze-based interaction are supported by estimation techniques that find a mapping between gaze data and corresponding targets on a 2D surface. However, in Virtual and Augmented Reality (AR) environments, interaction occurs mostly in a volumetric space, which poses a challenge to such techniques. Accurate point-of-regard (PoR) estimation, in particular, is of great importance to AR applications, since most known setups are prone to parallax error and target ambiguity. In this work, we expose the limitations of widely used techniques for PoR estimation in 3D and propose a new calibration procedure using an uncalibrated headmounted binocular eye tracker coupled with an RGB-D camera to track 3D gaze within the scene volume. We conducted a study to evaluate our setup with real-world data using a geometric and an appearance-based method. Our results show that accurate estimation in this setting still is a challenge, though some gaze-based interaction techniques in 3D should be possible. (AU)

Processo FAPESP: 17/06933-0 - Cognição aumentada por meio de computação vestível
Beneficiário:Carlos Eduardo Leão Elmadjian
Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado Direto
Processo FAPESP: 16/10148-3 - Interação pelo Olhar em Computação Vestível: uma Interface para a Internet das Coisas
Beneficiário:Carlos Hitoshi Morimoto
Modalidade de apoio: Auxílio à Pesquisa - Regular