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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=google+glass">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=google+glass]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for google glass]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/673/Rafiki-A-Semantic-and-Collaborative-Approach-to-Community-Health-care-in-Underserved-Areas"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/677/Semantics-for-Privacy-and-Shared-Context"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/666/A-Semantic-Context-Aware-Privacy-Model-for-FaceBlock"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/695/Privacy-in-a-World-of-Mobile-Devices"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/674/A-Semantic-and-Collaborative-Approach-to-Community-Health-care-in-Underserved-Areas"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/652/FaceBlock-Privacy-Aware-Pictures-for-Google-Glass"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/673/Rafiki-A-Semantic-and-Collaborative-Approach-to-Community-Health-care-in-Underserved-Areas">
  <title><![CDATA[Rafiki: A Semantic and Collaborative Approach to Community Health-care in Underserved Areas]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/673/Rafiki-A-Semantic-and-Collaborative-Approach-to-Community-Health-care-in-Underserved-Areas</link>
  <description><![CDATA[Community Health Workers (CHWs) act as liaisons between health-care providers and patients in underserved or un-served areas. However, the lack of information sharing and training support impedes the effectiveness of CHWs and their ability to correctly diagnose patients. In this paper, we propose and describe a system for mobile and wearable computing devices called Rafiki which assists CHWs in decision making and facilitates collaboration among them. Rafiki can infer possible diseases ...]]></description>
  <dc:date>2014-10-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/677/Semantics-for-Privacy-and-Shared-Context">
  <title><![CDATA[Semantics for Privacy and Shared Context]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/677/Semantics-for-Privacy-and-Shared-Context</link>
  <description><![CDATA[Capturing, maintaining, and using context information helps mobile applications provide better services and generates data useful in specifying information sharing policies. Obtaining the full benefit of context information requires a rich and expressive representation that is grounded in shared semantic models. We summarize some of our past work on representing and using context models and briefly describe Triveni, a system for cross-device context discovery and enrichment. Triveni represent...]]></description>
  <dc:date>2014-10-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/666/A-Semantic-Context-Aware-Privacy-Model-for-FaceBlock">
  <title><![CDATA[A Semantic Context-Aware Privacy Model for FaceBlock]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/666/A-Semantic-Context-Aware-Privacy-Model-for-FaceBlock</link>
  <description><![CDATA[Wearable computing devices like Google Glass are at the forefront of technological evolution in smart devices. The ubiquitous and oblivious nature of photography using these devices has made people concerned about their privacy in private and public settings. The Face-Block (http://face-block.me/) project protects the privacy of people around Glass users by making pictures taken by the latter, Privacy-Aware. Through sharing of privacy policies, users can choose whether or not to be included i...]]></description>
  <dc:date>2014-10-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/695/Privacy-in-a-World-of-Mobile-Devices">
  <title><![CDATA[Privacy in a World of Mobile Devices]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/695/Privacy-in-a-World-of-Mobile-Devices</link>
  <description><![CDATA[Our individual privacy is increasingly at risk in a world full of smart mobile devices. The situation will only get worse with the rise of an Internet of Things. One way to address this problem is through the use of systems that better understand their context and whose information gathering and sharing behaviors can be controlled or influenced by context-aware policies. We illustrate the problem and an approach to address it through recent work on FaceBlock, a project that protects the priva...]]></description>
  <dc:date>2014-09-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/674/A-Semantic-and-Collaborative-Approach-to-Community-Health-care-in-Underserved-Areas">
  <title><![CDATA[A Semantic and Collaborative Approach to Community Health-care in Underserved Areas]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/674/A-Semantic-and-Collaborative-Approach-to-Community-Health-care-in-Underserved-Areas</link>
  <description><![CDATA[Community Health Workers (CHWs) act as liaisons between health-care providers and patients in underserved or un-served areas. However, the lack of information sharing and training support impedes the effectiveness of CHWs and their ability to correctly diagnose patients. In this paper, we propose and describe a system for mobile and wearable computing devices called Remedy which assists CHWs in decision making and facilitates collaboration among them. Remedy can infer possible diseases and tr...]]></description>
  <dc:date>2014-07-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/652/FaceBlock-Privacy-Aware-Pictures-for-Google-Glass">
  <title><![CDATA[FaceBlock: Privacy-Aware Pictures for Google Glass]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/652/FaceBlock-Privacy-Aware-Pictures-for-Google-Glass</link>
  <description><![CDATA[FaceBlock takes regular pictures taken by your smartphone or Google Glass as input and converts them into Privacy-Aware Pictures. These pictures are generated by using a combination of Face Detection and Face Recognition algorithms. By using FaceBlock, a user can take a picture of herself and specify her policy/rule regarding pictures taken by others (in this case ‘obscure my face in pictures from strangers’). FaceBlock would automatically generate a mathematical representation of face id...]]></description>
  <dc:date>2014-06-16</dc:date>
 </item>
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