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contextapi


			
				
					
						
						
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    <title>Android projects by Chris Smith</title>
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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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     <h2>Context-aware framework</h2>
     <p>
      The goal of the context-aware framework is to create an open, easy-to-use
      framework for application developers to retrieve information about the
      user's context. This context information includes low-level activites
      (walking, sitting, running, etc), places (home, work, travelling),
      nearby people (friends, strangers, etc) and more.
     </p>
     <p>
      At present the project is in a research and data-collection phase. The
      applications presented below are intended to assist in gathering data
      which can be analysed to determine suitable algorithms and parameters
      to perform the detection necessary to correctly classify and extract
      context information. While they are published on the Android market
      and freely available to download, they do not provide any benefit to
      end users, so it is not anticipated that they will be widely used
      outside a small set of voluntary testers.
     </p>
     <p>
      Issues, suggestions and feedback can be sent to me directly (either via
      the address published on the application's market page, or the details
      on my <a href="http://chris.smith.name/">home page</a>), or raised as
      issues on the project page over at
      <a href="http://github.com/csmith/ContextApi/issues">GitHub</a>.
     </p>
     <div class="app">
      <a href="market://details?id=uk.co.md87.android.sensorlogger" class="qr"><img src="SensorLogger.png" alt="SensorLogger.apk QR code"></a>
      <div>
      <h3>Sensor logger</h3>
      <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>
      <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>
      <h4>Changelog</h4>
      <ul>
       <li><strong>0.2.1 &rarr; 0.2.2</strong>: Fix force close, add reporting of exceptions</li>
       <li><strong>0.2.0 &rarr; 0.2.1</strong>: Bug fix related to turning display off</li>
       <li><strong>0.1.6 &rarr; 0.2.0</strong>: Near-complete rewrite: much improved UI, classification on device, bug fixes</li>
       <li><strong>0.1.5 &rarr; 0.1.6</strong>: Fix force close on devices that use MEIDs not IMEI numbers</li>
       <li><strong>0.1.4 &rarr; 0.1.5</strong>: Make edit boxes single line only</li>
       <li><strong>0.1.3 &rarr; 0.1.4</strong>: Add support for horizontal layout</li>
       <li><strong>0.1.2 &rarr; 0.1.3</strong>: Added link to portal webpage</li>
       <li><strong>0.1.1 &rarr; 0.1.2</strong>: Fix force close when no magnetic field sensors are available, disable upload button</li>
       <li><strong>0.1 &rarr; 0.1.1</strong>: Add 10s delay at start, disable auto start, disable manual stopping, fix various uploader bugs</li>
      </ul>
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