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An ecosystem of platforms to support sensors for personal fitness

Authors: Gaetano Borriello; Waylon Brunette; Jonathan Lester; Polly Powledge; Adam D. Rea;

An ecosystem of platforms to support sensors for personal fitness

Abstract

We have developed a collection of portable platforms to enable context-aware applications to help users with their personal fitness. Our approach has been to focus on established form-factors such as cellphones and wrist-watches for the user interfaces. A variety of sensors are used to infer aspects of the user's context and proactively gather and display information that is likely to be useful at that time. In this paper, we highlight some of our platforms, the roles they can play, some of the capabilities we have already implemented, and highlight some of the applications we are currently developing.

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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!
6
Average
Top 10%
Average
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