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DBLP
Article . 2017
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A Survey of Wearable Devices and Challenges

Authors: Suranga Seneviratne; Yining Hu 0001; Tham Nguyen; Guohao Lan; Sara Khalifa; Kanchana Thilakarathna; Mahbub Hassan; +1 Authors

A Survey of Wearable Devices and Challenges

Abstract

As smartphone penetration saturates, we are witnessing a new trend in personal mobile devices—wearable mobile devices or simply wearables as it is often called. Wearables come in many different forms and flavors targeting different accessories and clothing that people wear. Although small in size, they are often expected to continuously sense, collect, and upload various physiological data to improve quality of life. These requirements put significant demand on improving communication security and reducing power consumption of the system, fueling new research in these areas. In this paper, we first provide a comprehensive survey and classification of commercially available wearables and research prototypes. We then examine the communication security issues facing the popular wearables followed by a survey of solutions studied in the literature. We also categorize and explain the techniques for improving the power efficiency of wearables. Next, we survey the research literature in wearable computing. We conclude with future directions in wearable market and research.

Country
Australia
Keywords

anzsrc-for: 1005 Communications Technologies, 4608 Human-Centred Computing, smart watches, Wearables, anzsrc-for: 0805 Distributed Computing, wearable sensors, wearable computers, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4606 Distributed computing and systems software, 025, anzsrc-for: 4608 Human-Centred Computing, 46 Information and Computing Sciences, Generic health relevance, anzsrc-for: 4006 Communications engineering, anzsrc-for: 0906 Electrical and Electronic Engineering

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    600
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
600
Top 0.1%
Top 1%
Top 0.1%
Green