<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel><title>RSS for Driver Recognition Based on Dynamic Handgrip Pattern on Steeling Wheel</title><link>http://journalogy.net/Rss.aspx?cata=9&amp;id=51156125</link><description>Search RSS feed for Microsoft Academic Search</description><generator>MSRA Libra RSS Burner</generator><copyright>(c)2008 Microsoft Corpration, All right reserved.</copyright><pubDate>Mon, 20 May 2013 21:59:26 GMT</pubDate><lastBuildDate>Mon, 20 May 2013 21:59:26 GMT</lastBuildDate><category /><item><title>Driver Recognition Based on Dynamic Handgrip Pattern on Steeling Wheel</title><link>http://journalogy.net/Publication/51156125</link><pubDate>Mon, 20 May 2013 14:59:26 GMT</pubDate><guid isPermaLink="false">511561250</guid><description><![CDATA[<div><a href="http://journalogy.net/Author/18030367">Ronghua Chen</a>, <a href="http://journalogy.net/Author/54904477">Mary Fenghua She</a>, <a href="http://journalogy.net/Author/56791583">Xiangping Sun</a>, <a href="http://journalogy.net/Author/41869086">Lingxue Kong</a>, <a href="http://journalogy.net/Author/22876481">Yuchuan Wu</a>:
            
            <span style="margin-left:20px" /><span style="margin-left:20px"><a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6063552">view publication</a></span></div><div>This paper proposes a novel <a href='http://academic.research.microsoft.com/Keyword/3530/biometric-authentication'>biometric authentication</a>  method based on the recognition of drivers' dynamic handgrip on steering wheel. A pressure sensitive mat mounted on a steering wheel is employed to collect handgrip data exerted by the hands of drivers who intend to start the vehicle. Then, the likelihood-ratio-based classifier is designed to distinguish rightful driver of a car after analyzing their inherent dynamic features of grasping. The experimental results obtained in this study show that mean acceptance rates of 85.4% for the trained subjects and mean rejection rates of 82.65% for the un-trained ones are achieved by the classifier in the two batches of testing. It can be concluded that the driver verification approach based on dynamic handgrip recognition on steering wheel is a promising biometric technology and will be further explored in the near future in smart car design.</div><div>Conference: <a href="http://journalogy.net/Conference/377">Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing - SNPD</a>, 2011</div><div></div><div />]]></description></item></channel></rss>