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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010604</journal-id>
      <journal-title>Electronic Imaging</journal-title>
      <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub"></issn>
      <publisher>
        <publisher-name>Society for Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.2352/ISSN.2470-1173.2020.3.MOBMU-303</article-id>
      <article-id pub-id-type="sici">2470-1173(20200126)2020:3L.3031;1-</article-id>
      <article-id pub-id-type="publisher-id">ei_24701173_v2020n3_input/s13.xml</article-id>
      <article-id pub-id-type="other">/ist/ei/2020/00002020/00000003/art00012</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Mobile Head Tracking for eCommerce and Beyond</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Cicek</surname>
            <given-names>Muratcan</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Xie</surname>
            <given-names>Jinrong</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Wang</surname>
            <given-names>Qiaosong</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Piramuthu</surname>
            <given-names>Robinson</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>26</day>
        <month>01</month>
        <year>2020</year>
      </pub-date>
      <volume>2020</volume>
      <issue>3</issue>
      <fpage>303-1</fpage>
      <lpage>303-12</lpage>
      <permissions>
        <copyright-year>2020</copyright-year>
      </permissions>
      <abstract>
        <p>
          <italic>Shopping is difficult for people with motor impairments. This includes online shopping. Proprietary software can emulate mouse and keyboard via head tracking. However, such a solution is not common for smartphones. Unlike desktop and laptop computers, they are also much easier to
 carry indoors and outdoors. To address this, we implement and open source button that is sensitive to head movements tracked from the front camera of iPhone X. This allows developers to integrate in eCommerce applications easily without requiring specialized knowledge. Other applications include
 gaming and use in hands-free situations such as during cooking, auto-repair. We built a sample online shopping application that allows users to easily browse between items from various categories and take relevant action just by head movements. We present results of user studies on this sample
 application and also include sensitivity studies based on two independent tests performed at 3 different distances to the screen.</italic>
        </p>
      </abstract>
      <kwd-group>
        <kwd>Mobile Device</kwd>
        <kwd>Head Tracking</kwd>
        <kwd>Assistive Technology</kwd>
        <kwd>Hands-free Interaction</kwd>
        <kwd>Pointing Techniques</kwd>
        <kwd>Head-based Pointing</kwd>
        <kwd>Virtual Reality</kwd>
        <kwd>iOS</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
