Towards Preventing Gaps in Health Care Systems through Smartphone Use: Analysis of ARKit for Accurate Measurement of Facial Distances in Different Angles.

Nissen, Leon; Hübner, Julia; Klinker, Jens; Kapsecker, Maximilian; Leube, Alexander; Schneckenburger, Max; Jonas, Stephan M

Nissen, Leon; Hübner, Julia; Klinker, Jens; Kapsecker, Maximilian; Leube, Alexander; Schneckenburger, Max; Jonas, Stephan M.

Afiliação

Nissen L; Institute for Digital Medicine, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
Hübner J; Carl Zeiss Vision GmbH, Turnstraße 27, 73430 Aalen, Germany.
Klinker J; School of Computation, Information and Technology, Technical University of Munich, Boltzmannstraße 3, 85748 Garching bei München, Germany.
Kapsecker M; Institute for Digital Medicine, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
Leube A; School of Computation, Information and Technology, Technical University of Munich, Boltzmannstraße 3, 85748 Garching bei München, Germany.
Schneckenburger M; Carl Zeiss Vision GmbH, Turnstraße 27, 73430 Aalen, Germany.
Jonas SM; Centre for Optical Technologies, Aalen University of Applied Science, 73430 Aalen, Germany.

Sensors (Basel) ; 23(9)2023 May 05.

Article em En | MEDLINE | ID: mdl-37177690

Assuntos

Face; Smartphone; Olho; Atenção à Saúde

Palavras-chave

ARKit; accuracy; distance measurement; face tracking; vision assessment

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Face / Smartphone Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Face / Smartphone Idioma: En Ano de publicação: 2023 Tipo de documento: Article