A Wearable Face Recognition System Built into a Smartwatch and the Visually Impaired User

Laurindo de Sousa Britto Neto, Vanessa Regina Margareth Lima Maike, Fernando Luiz Koch, Maria Cecília Calani Baranauskas, Anderson de Rezende Rocha, Siome Klein Goldenstein

2015

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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