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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
DBLP
Conference object . 2018
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Step-by-step Detection of Personally Collocated Mobile Devices

Authors: Animesh Srivastava; Jeremy Gummeson; Mary Baker; Kyu-Han Kim;

Step-by-step Detection of Personally Collocated Mobile Devices

Abstract

Many people now carry multiple mobile devices on a daily basis. Wearables, smartphones, tablets, and laptops all have their different advantages, but collectively they can increase a user's device management burden. Management problems include leaving a device behind accidentally, receiving notifications on the wrong device, and failing to secure all of the devices as needed. Reducing this burden requires detecting which of a user's devices are "personally collocated" -- those devices he currently wears, carries, or has under his immediate physical control. We present a lightweight method to detect personal collocation by comparing accelerometer-based footstep signatures across the devices over time. Through several experiments, we demonstrate that the technique is lower latency and lower power than state-of-the-art RSSI-based collocation techniques. We describe other advantages and limitations of our method and also provide several examples of higher-layer applications and services that can make use of personal collocation information.

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    popularity
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    Average
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
12
Average
Top 10%
Top 10%
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