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Erschienen in:
Empowering the Knowledge Worker: End-User Software Engineering in Knowledge Management Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

A Wearable Face Recognition System Built into a Smartwatch and the Blind and Low Vision Users

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

Erschienen in: Enterprise Information Systems

Verlag: Springer International Publishing

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Abstract

Assistive technologies need to be affordable, ergonomic and easy to use. In this work we argue that smartwatches could be assistive devices for the visually impaired, if they have the potential to run complex applications. Hence, in this paper we propose a face recognition system to show that it’s technically possible to develop a real-time computer vision system in a wearable device with limited hardware, since such systems generally require powerful hardware. A case study is presented using the first generation Samsung Galaxy Gear smartwatch. The system runs only on the watch’s hardware and consists in a face detection and recognition software that emits an audio feedback so that visually impaired users know who is around them. The case study includes an evaluation of the proposal with users. Results are shown and discussed validating the technological aspects of the proposal and pointing out room for improving the aspects of interaction.

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Vorheriges Kapitel MiCATS: Middleware for Context-Aware Transactional Services
Nächstes Kapitel Guidelines for Evaluating Mobile Applications: A Semiotic-Informed Approach
Fußnoten
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Metadaten
Titel
A Wearable Face Recognition System Built into a Smartwatch and the Blind and Low Vision Users
verfasst von
Laurindo de Sousa Britto Neto
Vanessa Regina Margareth Lima Maike
Fernando Luiz Koch
Maria Cecília Calani Baranauskas
Anderson de Rezende Rocha
Siome Klein Goldenstein
Copyright-Jahr
2015
Buch
Enterprise Information Systems

Print ISBN: 978-3-319-29132-1

Electronic ISBN: 978-3-319-29133-8

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-29133-8_25

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