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Authors: Laurindo de Sousa Britto Neto 1 ; Vanessa Regina Margareth Lima Maike 2 ; Fernando Luiz Koch 3 ; Maria Cecília Calani Baranauskas 2 ; Anderson de Rezende Rocha 2 and Siome Klein Goldenstein 2

Affiliations: 1 Federal University of Piauí (UFPI) and University of Campinas (UNICAMP), Brazil ; 2 University of Campinas (UNICAMP), Brazil ; 3 Samsung Research Institute, Brazil

ISBN: 978-989-758-098-7

Keyword(s): Human-Computer Interaction, Assistive Technology, Computer Vision, Accessibility, Wearable Device.

Related Ontology Subjects/Areas/Topics: Accessibility and Usability ; Enterprise Information Systems ; Human-Computer Interaction ; Interaction Techniques and Devices

Abstract: Practitioners usually expect that real-time computer vision systems such as face recognition systems will require hardware components with high processing power. In this paper, we present a concept to show that it is technically possible to develop a simple real-time face recognition system in a wearable device with low processing power – in this case an assistive device for the visually impaired. Our platform of choice here is the first generation Samsung Galaxy Gear smartwatch. Running solely in the watch, without pairing to a phone or tablet, the system detects a face in the image captured by the camera, and then performs face recognition (on a limited dictionary), emitting an audio feedback that either identifies the recognized person or indicates that s/he is unknown. For the face recognition approach we use a variation of the K-NN algorithm which accomplished the task with high accuracy rates. This paper presents the proposed system and preliminary results on its evaluation.

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Paper citation in several formats:
Britto Neto, L.; Maike, V.; Koch, F.; Baranauskas, M.; Rocha, A. and Goldenstein, S. (2015). A Wearable Face Recognition System Built into a Smartwatch and the Visually Impaired User.In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-758-098-7, pages 5-12. DOI: 10.5220/0005370200050012

@conference{iceis15,
author={Laurindo de Sousa Britto Neto. and Vanessa Regina Margareth Lima Maike. and Fernando Luiz Koch. and Maria Cecília Calani Baranauskas. and Anderson de Rezende Rocha. and Siome Klein Goldenstein.},
title={A Wearable Face Recognition System Built into a Smartwatch and the Visually Impaired User},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2015},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005370200050012},
isbn={978-989-758-098-7},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - A Wearable Face Recognition System Built into a Smartwatch and the Visually Impaired User
SN - 978-989-758-098-7
AU - Britto Neto, L.
AU - Maike, V.
AU - Koch, F.
AU - Baranauskas, M.
AU - Rocha, A.
AU - Goldenstein, S.
PY - 2015
SP - 5
EP - 12
DO - 10.5220/0005370200050012

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