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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Stephen Intille.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Williams, Clayton James</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">505566859</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaf 35).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Sensing of the physical world is a challenging task for mobile applications. There is no standardized method of obtaining data from sensors or for distributing those data to applications that use it. Consequently, many researchers in mobile sensors end up writing custom software to interact with their sensors. Unfortunately, these customized solutions are often tightly integrated with the researcher's specific task and are rarely used for a different sensing application. A sensor framework is presented that offers a standardized, easy-to-use, and efficient application programming interface (API) to sensor software authors. The API lets them write a sensor module focused on producing useful interpretations of the sensor data, without considering how the produced data will be distributed to client applications. As mobile sensors become more ubiquitous, this work will help researchers working with mobile devices to save development time boost the reliability and speed of sensor software that uses sensor input for context detection.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Clayton James Williams.</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
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copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
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   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Design and testing of a sensor middleware for mobile phones</dim:field>
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   	&lt;Title>Design and testing of a sensor middleware for mobile phones&lt;/Title>
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   	&lt;PublicationDate>2009&lt;/PublicationDate>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract&gt;Sensing of the physical world is a challenging task for mobile applications. There is no standardized method of obtaining data from sensors or for distributing those data to applications that use it. Consequently, many researchers in mobile sensors end up writing custom software to interact with their sensors. Unfortunately, these customized solutions are often tightly integrated with the researcher&amp;apos;s specific task and are rarely used for a different sensing application. A sensor framework is presented that offers a standardized, easy-to-use, and efficient application programming interface (API) to sensor software authors. The API lets them write a sensor module focused on producing useful interpretations of the sensor data, without considering how the produced data will be distributed to client applications. As mobile sensors become more ubiquitous, this work will help researchers working with mobile devices to save development time boost the reliability and speed of sensor software that uses sensor input for context detection.&lt;/Abstract>
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