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        <description>Data Reduction


[ Pedar sensor map] 
[ Single User, 5 trials]

Intro

In Hermes, as is the case in most embedded sensing applications, data drives the investigation.  Pedar, a pre-existing system used by kinesthesiologists and physical therapists, is extremely expensive and captures a lot of data (100+ sensors per insole as seen in picture above).  In order to understand if all 100 sensors are relevant and if any can be discarded we must turn to data reduction methods.</description>
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        <description>Hermes, a new non-invasive smart shoe, being developed by researchers from UCLA's ER and Ascent Lab.
This lightweight smart shoe and its supporting infrastructure is aimed at extending
fall risk analysis and human balance monitoring outside of a
laboratory environment. We do this by combining embedded
sensing, signal processing and modeling techniques to create a
scientific tool capable of quantifying high-level measures. The</description>
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