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IPRA: Real-Time Face Recognition on Smart Glasses with Fog Computing

Published: 08 October 2018 Publication History

Abstract

The availability of artificial intelligence and smart glasses, equipped with cameras and displays, presents a strong foundation on which to build a wearable cognitive assistant, a device that provides the user with context-aware information. Although technical challenges such as power consumption and insufficient latency have plagued early versions of such products, developments in fog computing present a potential solution. In this paper, we present an application that uses fog computing to provide real-time face recognition on smart glasses. To understand the impact of fog computing on latency and battery consumption, we compare it with an adapted version that does not rely on fog computing.

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  1. IPRA: Real-Time Face Recognition on Smart Glasses with Fog Computing

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    cover image ACM Conferences
    UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
    October 2018
    1881 pages
    ISBN:9781450359665
    DOI:10.1145/3267305
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 08 October 2018

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    Author Tags

    1. Data Glasses
    2. Face Recognition
    3. Fog Computing
    4. Real-Time
    5. Smart Glasses
    6. Wearable Cognitive Assistant

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