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<style type="text/css">
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.qr { float: left; clear: left; margin-right: 15px; }
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.qr img { width: 128px; }
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+ .app p { margin-left: 143px; }
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</style>
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</head>
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<body style="margin-top: 0; padding-top: 0;">
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<h1 style="background: url('android.png') no-repeat right; padding-top: 50px; margin-top: 0;">Android projects by <span>Chris Smith</span></h1>
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<div>
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+ <h2>Context-aware framework</h2>
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+ <p>
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+ The goal of the context-aware framework is to create an open, easy-to-use
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+ framework for application developers to retrieve information about the
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+ user's context. This context information includes low-level activites
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+ (walking, sitting, running, etc), places (home, work, travelling),
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+ nearby people (friends, strangers, etc) and more.
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+ </p>
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+ <p>
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+ At present the project is in a research and data-collection phase. The
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+ applications presented below are intended to assist in gathering data
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+ which can be analysed to determine suitable algorithms and parameters
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+ to perform the detection necessary to correctly classify and extract
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+ context information. While they are published on the Android market
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+ and freely available to download, they do not provide any benefit to
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+ end users, so it is not anticipated that they will be widely used
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+ outside a small set of voluntary testers.
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+ </p>
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<div class="app">
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<a href="market://details?id=uk.co.md87.android.sensorlogger" class="qr"><img src="SensorLogger.png" alt="SensorLogger.apk QR code"></a>
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- <h2>Sensor logger</h2>
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- <p>Logs changes in accelerometer and magnetic readings and allows them to be uploaded for use in research.</p>
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- <p>When the "start" button is pressed, the application will log sensor data for approximately 50 seconds, and then automatically upload it along with the user-supplied activity description.</p>
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+ <h3>Sensor logger</h3>
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+ <p>Logs changes in accelerometer and magnetic field readings over a 50 second period. This data is combined with a user-supplied activity description, and uploaded for use in development, training and evaluation of an activity detection algorithm.</p>
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+ <p>The application provides a link to a web-based portal where users can see a graph of their uploaded data, and the results of the activity detection algorithm will also be surfaced there.</p>
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</div>
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</div>
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<div id="footer"/>
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