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			</style>[an error occurred while processing this directive]<div class="content-width"><ol class="breadcrumb text-uppercase"><li><a href="/">Home</a></li><li><a href="/research/">Research</a></li><li><a href="/research/cyberphysical/">Systems</a></li><li><a href="/research/cyberphysical/activities.html">activities</a></li><li><a href="/activities/MobileandPeople-centricSystemsandSensing/">Mobile and People-centric Systems and Sensing</a></li><li class="active">Publications</li></ol></div><!-- MOBILE NAVIGATION --><div class="content-width space-below mobile-menu-placeholder visible-xs visible-sm"></div><!-- COLUMNS --><div class="container-fluid content-width"><div class="row"><div class="col-xs-12 col-md-9 col-md-push-3" id="maincontent"><!-- CONTENT (Column 2) --><div class="page-title"><h1>Mobile and People-centric Systems and Sensing: Publications
</h1></div><div role="toolbar" class="btn-toolbar"><div class="btn-group"><a href="/activities/publications/date/MobileandPeople-centricSystemsandSensing.html" aria-hidden="true" type="button" class="btn btn-oxford-blue"><span class="glyphicon glyphicon-sort-by-attributes"></span> By date</a><a href="/activities/publications/title/MobileandPeople-centricSystemsandSensing.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By title</a><a href="/activities/publications/type/MobileandPeople-centricSystemsandSensing.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By type</a><a href="/activities/publications/bibtex/MobileandPeople-centricSystemsandSensing.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-file"></span> BibTex</a></div></div><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
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	<p class="publicationTitle"> <strong>
            Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues </strong> </p>
	    <p class="publicationAuthors"> <em> <u>Chris Xiaoxuan Lu</u>&#x201a; Xuan Kan&#x201a; Bowen Du&#x201a; Changhao Chen&#x201a; Hongkai Wen&#x201a; Andrew Markham&#x201a; Niki Trigoni and John Stankovic  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            The Web Conference (WWW)</em>.
        2019.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12279-abstract.html">
			Details <span class="sr-only" > about <em> Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues  </em></span> </a> |
			<a href="/publications/publication12279.bib">
			BibTeX  <span class="sr-only" > data for <em> Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues  </em></span>   </a>
			
			

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	<p class="publicationTitle"> <strong>
            Simultaneous Localization and Mapping with Power Network Electromagnetic Field </strong> </p>
	    <p class="publicationAuthors"> <em> Chris Xiaoxuan Lu&#x201a; Yang Li&#x201a; Peijun Zhao&#x201a; Changhao Chen&#x201a; Linhai Xie&#x201a; Hongkai Wen&#x201a; Rui Tan and Niki Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Annual International Conference on Mobile Computing and Networking (MobiCom)</em>.
        2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12074-abstract.html">
			Details <span class="sr-only" > about <em> Simultaneous Localization and Mapping with Power Network Electromagnetic Field  </em></span> </a> |
			<a href="/publications/publication12074.bib">
			BibTeX  <span class="sr-only" > data for <em> Simultaneous Localization and Mapping with Power Network Electromagnetic Field  </em></span>   </a>
			
			

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	<p class="publicationTitle"> <strong>
            DeepAuth: In&#x2212;situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics </strong> </p>
	    <p class="publicationAuthors"> <em> Chris Xiaoxuan Lu&#x201a; Bowen Du&#x201a; Peijun Zhao&#x201a; Hongkai Wen&#x201a; Yiran Shen&#x201a; Andrew Markham and Niki Trignoni  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            International Symposium on Wearable Computers (ISWC)</em>.
        2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12150-abstract.html">
			Details <span class="sr-only" > about <em> DeepAuth: In&#x2212;situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics  </em></span> </a> |
			<a href="/publications/publication12150.bib">
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	<p class="publicationTitle"> <strong>
            Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning </strong> </p>
	    <p class="publicationAuthors"> <em> Chris Xiaoxuan Lu&#x201a; Bowen Du&#x201a; Hongkai Wen&#x201a; Sen Wang&#x201a; Andrew Markham&#x201a; Ivan Martinovic&#x201a; Yiran Shen and Niki Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)</em>.
        2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication11247-abstract.html">
			Details <span class="sr-only" > about <em> Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning  </em></span> </a> |
			<a href="/publications/publication11247.bib">
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	<p class="publicationTitle"> <strong>
            DeepVO: Towards End&#x2212;to&#x2212;End Visual Odometry with Deep Recurrent Convolutional Neural Networks </strong> </p>
	    <p class="publicationAuthors"> <em> S. Wang&#x201a; R. Clark&#x201a; H. Wen and N. Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Conference on Robotics and Automation</em>.
        2017.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication10904-abstract.html">
			Details <span class="sr-only" > about <em> DeepVO: Towards End&#x2212;to&#x2212;End Visual Odometry with Deep Recurrent Convolutional Neural Networks  </em></span> </a> |
			<a href="/publications/publication10904.bib">
			BibTeX  <span class="sr-only" > data for <em> DeepVO: Towards End&#x2212;to&#x2212;End Visual Odometry with Deep Recurrent Convolutional Neural Networks  </em></span>   </a>
			
			

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	<p class="publicationTitle"> <strong>
            VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem </strong> </p>
	    <p class="publicationAuthors"> <em> R. Clark&#x201a; S. Wang&#x201a; H. Wen&#x201a; A. Markham and N. Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            AAAI Conference on Artificial Intelligence (AAAI)</em>.
        2017.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication10903-abstract.html">
			Details <span class="sr-only" > about <em> VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem  </em></span> </a> |
			<a href="/publications/publication10903.bib">
			BibTeX  <span class="sr-only" > data for <em> VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem  </em></span>   </a>
			
			

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	<p class="publicationTitle"> <strong>
            SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data </strong> </p>
	    <p class="publicationAuthors"> <em> <u>Chris Xiaoxuan Lu</u>&#x201a; Hongkai Wen&#x201a; Sen Wang&#x201a; Andrew Markham and Niki Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)</em>.
        2017.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication10934-abstract.html">
			Details <span class="sr-only" > about <em> SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data  </em></span> </a> |
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	<p class="publicationTitle"> <strong>
            Tracking People in Highly Dynamic Industrial Environments </strong> </p>
	    <p class="publicationAuthors"> <em> S. Papaioannou&#x201a; A. Markham and N. Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Transactions on Mobile Computing (Issue: 99)</em>.
        2016.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication10696-abstract.html">
			Details <span class="sr-only" > about <em> Tracking People in Highly Dynamic Industrial Environments  </em></span> </a> |
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	<p class="publicationTitle"> <strong>
            Robust Occupancy Inference with Commodity WiFi </strong> </p>
	    <p class="publicationAuthors"> <em> <u>Chris Xiaoxuan Lu</u>&#x201a; Hongkai Wen&#x201a; Han Zou&#x201a; Hao Jiang&#x201a; Lihua Xie and Niki Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            IEEE International Conference on Wireless and Mobile Computing&#x201a; Networking and Communications (WiMob)</em>.
        2016.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication10615-abstract.html">
			Details <span class="sr-only" > about <em> Robust Occupancy Inference with Commodity WiFi  </em></span> </a> |
			<a href="/publications/publication10615.bib">
			BibTeX  <span class="sr-only" > data for <em> Robust Occupancy Inference with Commodity WiFi  </em></span>   </a>
			
			

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	<p class="publicationTitle"> <strong>
            Indoor tracking using undirected graphical models </strong> </p>
	    <p class="publicationAuthors"> <em> Zhuoling Xiao&#x201a; Hongkai Wen&#x201a; Andrew Markham and Niki Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Transactions on Mobile Computing</em>.
        
            Vol. 1.
        
            No. 1.
        
                Pages PP.
            2015.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication9617-abstract.html">
			Details <span class="sr-only" > about <em> Indoor tracking using undirected graphical models  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Indoor tracking using undirected graphical models  </em></span>   </a>
			
			

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	<p class="publicationTitle"> <strong>
            Robust Indoor Positioning with Lifelong Learning </strong> </p>
	    <p class="publicationAuthors"> <em> Zhuoling Xiao&#x201a; Hongkai Wen&#x201a; Andrew Markham and Niki Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Journal on Selected Areas in Communications</em>.
        
            Vol. PP.
        
            No. 99.
        
                Pages PP.
            2015.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication9618-abstract.html">
			Details <span class="sr-only" > about <em> Robust Indoor Positioning with Lifelong Learning  </em></span> </a> |
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	<p class="publicationTitle"> <strong>
            Accurate Positioning via Cross Modality Training </strong> </p>
	    <p class="publicationAuthors"> <em> S. Papaioannou&#x201a; H. Wen&#x201a; Z. Xiao&#x201a; A. Markham and N. Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems</em>.
        
                Pages 239&#x2212;251.
            2015.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication10695-abstract.html">
			Details <span class="sr-only" > about <em> Accurate Positioning via Cross Modality Training  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Accurate Positioning via Cross Modality Training  </em></span>   </a>
			
			

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	<p class="publicationTitle"> <strong>
            Robust pedestrian dead reckoning (R&#x2212;PDR) for arbitrary mobile device placement </strong> </p>
	    <p class="publicationAuthors"> <em> Zhuoling Xiao&#x201a; Hongkai Wen&#x201a; Andrew Markham and Niki Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            The 5th International Conference on Indoor Positioning and Indoor Navigation</em>.
        Busan&#x201a; Korea.
        2014.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication9614-abstract.html">
			Details <span class="sr-only" > about <em> Robust pedestrian dead reckoning (R&#x2212;PDR) for arbitrary mobile device placement  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Robust pedestrian dead reckoning (R&#x2212;PDR) for arbitrary mobile device placement  </em></span>   </a>
			
			
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	<p class="publicationTitle"> <strong>
            Encounter Based Sensor Tracking </strong> </p>
	    <p class="publicationAuthors"> <em> Andrew Symington and Niki Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            The Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2012)</em>.
        June,
            2012.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication5994-abstract.html">
			Details <span class="sr-only" > about <em> Encounter Based Sensor Tracking  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Encounter Based Sensor Tracking  </em></span>   </a>
			
			

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					    <span class="sr-only" > of <em> Encounter Based Sensor Tracking  </em></span>

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		href="http://dx.doi.org/10.1145/2248371.2248377">
		DOI (10.1145/2248371.2248377)
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				[15] 
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	<p class="publicationTitle"> <strong>
            Robot&#x2212;Assisted Discovery of Evacuation Routes in Emergency Scenarios </strong> </p>
	    <p class="publicationAuthors"> <em> Ettore Ferranti and Niki Trigoni  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            ICRA08&#x201a; IEEE International Conference on Robotics and Automation</em>.
        IEEE.
        May,
            2008.
        </p>
	
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