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    <title>OAR@UM Collection:</title>
    <link>https://www.um.edu.mt/library/oar/handle/123456789/23656</link>
    <description />
    <pubDate>Sat, 18 Apr 2026 10:46:52 GMT</pubDate>
    <dc:date>2026-04-18T10:46:52Z</dc:date>
    <item>
      <title>Eyes front!</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/67629</link>
      <description>Title: Eyes front!
Abstract: How often do your date’s eyes glance down at your chest? Which products do people notice in a supermarket? How long does it take you to read a billboard?&#xD;
Eye trackers are helping researchers around the world answer questions like these. From analysing user experience to developing a new generation of video games, this technology offers a novel way of interacting with machines. People with disabilities, for example, can use them to control computers. A team at the Department of Systems and Control Engineering (University of Malta) is using a research-grade eye-gaze tracker, worth around €40,000, to test technologies they are planning to commercialise soon.</description>
      <pubDate>Tue, 01 Jan 2019 00:00:00 GMT</pubDate>
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      <dc:date>2019-01-01T00:00:00Z</dc:date>
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    <item>
      <title>What’s lurking on your lunch?</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/38667</link>
      <description>Title: What’s lurking on your lunch?
Abstract: Let's be honest: very few of us make&#xD;
our lunch from scratch every single&#xD;
day. Although meal prepping trends&#xD;
are slowly catching on, bags of ready-to-&#xD;
eat salad, dips, and cheeses remain&#xD;
very tempting-especially when they can stop&#xD;
you from consuming last week's lasagne. Such&#xD;
convenient healthy choices mean that we&#xD;
don't need to think as hard about what's going&#xD;
into our lunch box. But is this food-on-the-move&#xD;
culture really as healthy as it seems?</description>
      <pubDate>Sat, 01 Dec 2018 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.um.edu.mt/library/oar/handle/123456789/38667</guid>
      <dc:date>2018-12-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Phase-based SSVEPs for real-time control of a motorised bed</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/27792</link>
      <description>Title: Phase-based SSVEPs for real-time control of a motorised bed
Authors: Gauci, Norbert; Falzon, Owen; Camilleri, Tracey A.; Camilleri, Kenneth P.
Abstract: Brain-computer interface (BCI) systems have&#xD;
emerged as an augmentative technology that can provide a&#xD;
promising solution for individuals with motor dysfunctions and&#xD;
for the elderly who are experiencing muscle weakness. Steadystate&#xD;
visually evoked potentials (SSVEPs) are widely adopted&#xD;
in BCI systems due to their high speed and accuracy when&#xD;
compared to other BCI paradigms. In this paper, we apply&#xD;
combined magnitude and phase features for class discrimination&#xD;
in a real-time SSVEP-based BCI platform. In the proposed realtime&#xD;
system users gain control of a motorised bed system with&#xD;
seven motion commands and an idle state. Experimental results&#xD;
amongst eight participants demonstrate that the proposed realtime&#xD;
BCI system can successfully discriminate between different&#xD;
SSVEP signals achieving high information transfer rates (ITR)&#xD;
of 82.73 bits/min. The attractive features of the proposed system&#xD;
include noninvasive recording, simple electrode configuration,&#xD;
excellent BCI response and minimal training requirements.</description>
      <pubDate>Sat, 01 Jul 2017 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.um.edu.mt/library/oar/handle/123456789/27792</guid>
      <dc:date>2017-07-01T00:00:00Z</dc:date>
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    <item>
      <title>A real-time SSVEP-based brain-computer interface music player application</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/27775</link>
      <description>Title: A real-time SSVEP-based brain-computer interface music player application
Authors: Zerafa, Rosanne; Camilleri, Tracey A.; Falzon, Owen; Camilleri, Kenneth P.
Abstract: A real-time Brain-Computer Interface (BCI)&#xD;
music player based on steady-state visually evoked potentials&#xD;
(SSVEPs) is presented. This asynchronous BCI can distinguish&#xD;
up to six simultaneously occurring stimuli in addition to idle&#xD;
states during which the user does not want to execute a command.&#xD;
Distinguishing between an intended and non-intended&#xD;
control signal is an essential element for the seamless integration&#xD;
of BCIs with other user activities. The user-friendly design&#xD;
of the music player is based on typical smart phone applications&#xD;
integrated with flickering stimuli that evoke SSVEPs. In&#xD;
addition, the BCI requires only one bipolar EEG channel thus&#xD;
having an easy and quick setup time. The tests conducted by&#xD;
five subjects resulted in a mean kappa coefficient of 0.87 using&#xD;
the asynchronous BCI. This high performance demonstrates&#xD;
the potential of using the system as an assistive application for&#xD;
people suffering from motor impairments and even as an entertainment&#xD;
application for healthy users.</description>
      <pubDate>Tue, 01 Mar 2016 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.um.edu.mt/library/oar/handle/123456789/27775</guid>
      <dc:date>2016-03-01T00:00:00Z</dc:date>
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