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<title>Auditory Attention — Predictive modeling from physiological signals</title>
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<h1>Physiology of Auditory Attention (PhyAAt):</h1>
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<!--<span style="background-color: #FFFF00">..</span> -->
<h1 style="background-color: #EBF5FB">Authors<a class="headerlink" href="#people" title="Permalink to this headline">¶</a></h1>
<p>This work is made available by following people:</p>
<ul class="simple">
<div class="col span_1_of_3">
<figure>
<a class="reference external" href="http://nikeshbajaj.in"><img alt="Nikesh Bajaj" src="_images0/nbajaj.jpg" width="100">
<figcaption><a class="reference external" href="http://nikeshbajaj.in">Nikesh Bajaj</a></figcaption>
</figure>
<figure>
<a class="reference external" href="https://about.me/riccardo.berta"><img alt="Riccardo Berta" src="_images0/riccardoberta.jpg" width="100">
<figcaption><a class="reference external" href="https://about.me/riccardo.berta">Riccardo Berta</a></figcaption>
</figure>
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<figure>
<a class="reference external" href="http://www.eecs.qmul.ac.uk/~jrequena/"><img alt="Jesús Requena Carrión" src="_images0/jesusRcarrion.jpg" width="100">
<figcaption><a class="reference external" href="http://www.eecs.qmul.ac.uk/~jrequena/">Jesús Requena Carrión</a></figcaption>
</figure>
<figure>
<a class="reference external" href="http://www.elettronica.unige.it/index.php/docenti/951-alessandro-de-gloria"><img alt="Alessandro De Gloria" src="_images0/alessandrodegloria.jpg" width="100">
<figcaption><a class="reference external" href="http://www.elettronica.unige.it/index.php/docenti/951-alessandro-de-gloria">Alessandro De Gloria</a></figcaption>
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<a class="reference external" href="https://scholar.google.com/citations?user=yMYFZKsAAAAJ&hl=en"><img alt="Francesco Bellotti" src="_images0/francesco.jpg" width="100">
<figcaption><a class="reference external" href="https://scholar.google.com/citations?user=yMYFZKsAAAAJ&hl=en">Francesco Bellotti</a></figcaption>
</figure>
</div>
</ul>
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<div class="section" id="institutions">
<h1 style="background-color: #EBF5FB">Institutions and Labs <a class="headerlink" href="#institutions" title="Permalink to this headline"></a></h1>
<a class="reference external" href="https://elios.diten.unige.it/">
<img id="index-funding-logo-big" src="_static/logos/elios-logo.png" title="elioslab" style="max-height: 64px">
</a>
<br>
<font size="5"><strong><a class="reference external" href="https://elios.diten.unige.it/">Electronics for the Information Society</a></strong></font>
<p>The Elios Lab of the DITEN Department at <strong>University of Genoa</strong> is engaged since years in the research and development of innovative applications
of Intelligent Electronic Systems in several fields, such as Games, Education, Autonomous Vehicle and Health.
</p>
<p>
Elios Lab works in collaboration with several Italian and international companies, in joint industrial research projects, also funded by the European Union.
Partners include: Fiat Research Center, Leonardo SpA, BMW, VTT, Jaguar-Land Rover, PSA, Zanichelli, Objective.
</p>
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</a>
<br>
<font size="5"><strong><a class="reference external" href="http://cis.eecs.qmul.ac.uk/">Centre for Intelligent Sensing</a></strong></font>
<p>The Centre for Intelligent Sensing is a focal point for research in Intelligent Sensing at <strong>Queen Mary University of London</strong>.
The Centre focuses on breakthrough innovations in computational intelligence that are expected to have a major impact in transforming human and
machine utilisation of multiple sensor inputs for interpretation and decision making.
</p>
<p>The Centre facilitates sharing of resources, exchange of ideas and results among researchers in the areas of theory and application of signal
acquisition, processing, communication, abstraction, control and visualisation.
</p>
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<!--<hr>-->
<div class="section" id="citing">
<span id="citing"><h1 style="background-color: #EBF5FB">Publications & Citing<a class="headerlink" href="#citing" title="Permalink to this headline"></a></h1></span>
<h2>Published<a class="headerlink" href="#publicaions" title="Permalink to this headline">¶</a></h2>
<ul>
<li>Bajaj, N., Carrión, J. R., Bellotti, F., Berta, R., & De Gloria, A. (2020). <strong>Automatic and tunable algorithm for EEG artifact removal using wavelet decomposition with applications in predictive modeling during auditory tasks</strong>. <i>Biomedical Signal Processing and Control</i>, 55, 101624.
<strong style="background-color:#FFFC33"><a class="reference external" href="https://doi.org/10.1016/j.bspc.2019.101624">[Download]</a></strong>
</li>
<li><p>Bajaj, N., Bellotti, F., Berta, R., Carriòn, J. R., & De Gloria, A. (2018, December). <strong>Auditory Attention, Implications for Serious Game Design</strong>. In International Conference on Games and Learning Alliance (pp. 201-209). Springer, Cham.
<strong style="background-color:#FFFC33"><a class="reference external" href="https://link.springer.com/chapter/10.1007/978-3-030-11548-7_19/">[Link]</a></strong>
</p></li>
</ul>
<h2>Under review<a class="headerlink" href="#upublished" title="Permalink to this headline">¶</a></h2>
<ul>
<li><p><strong>A database of physiological signals for analysing auditory processing of natural speech</strong>.
</p></li>
<li><p><strong>Statistical analysis of factors affecting the auditory attention</strong>.
</p></li>
</ul>
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