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fellow researchers,</span><span data-ogsc="rgb(0, 0, 0)" data-ogsb="rgb(255, 255, 255)" style="margin: 0px; display: inline !important; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);"></span>
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<b data-ogsc=""><i data-ogsc="" class="ContentPasted0">We would like to remind you that you have to register on our internal competition registration portal before 12 June 2023 (AoE) in order to participate. </i></b></div>
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<b data-ogsc=""><i class="x_ContentPasted3 ContentPasted0" data-ogsc="">Link for registration: <a href="https://conftool.dfki-bremen.de/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-ogsc="" data-linkindex="0" style="margin:0px" class="ContentPasted0">https://conftool.dfki-bremen.de/</a></i></b></div>
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Our team is organizing a BCI competition at the IJCAI 2023 conference and we would like to draw your attention to the following call for participation:<br class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0">
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CALL FOR PARTICIPATION!!!!!</div>
<div data-ogsc="" style="margin:0px"><b class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" data-ogsc="">Challenge/Competition -> IntEr-HRI: Intrinsic Error Evaluation during Human-Robot Interaction</b><br class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0">
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<div data-ogsc="" style="margin:0px"><span class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" data-ogsc="" style="margin:0px">IntEr-HRI Challenge (<a href="https://ijcai-23.org/competitions/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" title="https://ijcai-23.org/competitions/" data-linkindex="1" class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" data-ogsc="" style="margin:0px">https://ijcai-23.org/competitions/</a>)
is a competition in IJCAI’23. It is being organized by the Robotics Innovation Centre at the German Research Centre for Artificial Intelligence (DFKI) and the Department of Medical Technology Systems at the University of Duisburg-Essen. The goal of the competition
is to develop competitive Signal Processing and Machine Learning approaches for the asynchronous detection of erroneous behaviors based on single-trial EEG analysis.
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<u class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" data-ogsc="">Experimental Setup</u>:</div>
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The experimental setup consisted of 4 main parts – a 64-channel EEG system, an eight-channel EMG system, an active orthosis device fitted on the right arm, and an air-filled ball held in the left hand of the subject. The active orthosis provided support at
the elbow joint to perform flexion-extension movements. During the experiment, the subjects performed 30 movement trials (15 flexions and 15 extensions). In each trial, the subjects indicated their intention to start the movement by applying an initial force
after which the active orthosis device took over the control of the movement. Additionally, out of the 30 trials, 6 were randomly selected during each of which an error was deliberately introduced. This error lasted for a short duration of 250 ms and was characterized
by a momentary change in the direction of movement. As soon as the subjects felt the errors, they were instructed to squeeze the ball in their left hand.</div>
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<u class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" data-ogsc="">Competition</u>:</div>
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The competition is divided into 2 stages – Offline stage and online stage.</div>
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<u class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" data-ogsc="">Offline Stage</u>:</div>
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In the offline stage, pre-recorded EEG dataset is provided. This dataset is divided into labeled training data and unlabeled test data. The task for this stage is to train the machine learning model to detect the deliberately introduced errors and perform a
10-fold cross-validation on the labeled training data. Furthermore, it is expected to test this model on the provided unlabeled test data and detect the exact time points where the errors were introduced.</div>
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<u class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" data-ogsc="">Online Stage</u>:</div>
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The top 10 teams with the best results in the offline stage will be selected for the online stage of the competition wherein the teams would get an opportunity to test their approaches on our experimental setup in real-time.</div>
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Detailed information about our experimental setup, methods used, and dataset description can be found in our arXiv paper (<a href="https://doi.org/10.48550/arXiv.2305.11996" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="2" data-ogsc="" class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" style="margin:0px">https://doi.org/10.48550/arXiv.2305.11996</a>).
Please follow our competition webpage (<a href="https://ijcai-23.dfki-bremen.de/competitions/inter-hri/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="3" data-ogsc="" class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" style="margin:0px">https://ijcai-23.dfki-bremen.de/competitions/inter-hri/</a>)
for a complete overview of the competition rules, evaluation metrics, registration deadlines, and submission deadlines.</div>
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<div data-ogsc="" style="margin:0px"><u class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" data-ogsc="">Important Links:</u></div>
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Competition Webpage: <a href="https://ijcai-23.dfki-bremen.de/competitions/inter-hri/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" title="https://ijcai-23.dfki-bremen.de/competitions/inter-hri/" data-linkindex="4" data-ogsc="" class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" style="margin:0px">https://ijcai-23.dfki-bremen.de/competitions/inter-hri/</a></div>
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arXiv paper: <a href="https://doi.org/10.48550/arXiv.2305.11996" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" title="https://doi.org/10.48550/arXiv.2305.11996" data-linkindex="5" data-ogsc="" class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" style="margin:0px">https://doi.org/10.48550/arXiv.2305.11996</a></div>
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Registration Portal: <a href="https://conftool.dfki-bremen.de/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-ogsc="" data-linkindex="6" style="margin:0px" class="ContentPasted0">https://conftool.dfki-bremen.de/</a></div>
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<div data-ogsc="" style="margin:0px"><span class="x_x_ContentPasted0 x_ContentPasted0 ContentPasted0" data-ogsc="" style="margin:0px">Training Dataset (Zenodo): <a href="https://doi.org/10.5281/zenodo.7951044" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" title="https://doi.org/10.5281/zenodo.7951044" data-loopstyle="linkonly" data-ogsc="" data-linkindex="7" style="margin:0px" class="ContentPasted0">Training
Dataset Link</a></span></div>
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<div data-ogsc="" class="x_ContentPasted1" style="margin:0px"><span data-ogsc="" style="font-size:11pt;margin:0px" class="ContentPasted0">Test dataset (Zenodo)</span><span data-ogsc="" style="font-size:12pt;margin:0px" class="ContentPasted0">: <span class="x_ContentPasted2" data-ogsc="rgb(51, 51, 51)" data-ogsb="rgb(245, 245, 245)" style="font-weight: 300; font-size: 14px; font-family: Roboto, sans-serif; margin: 0px; display: inline !important; color: rgb(51, 51, 51); background-color: rgb(245, 245, 245);"><span data-ogsc="" style="font-size:12pt;font-family:"Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif;margin:0px"><a href="https://doi.org/10.5281/zenodo.7966275" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" title="https://doi.org/10.5281/zenodo.7966275" data-loopstyle="linkonly" data-ogsc="" data-linkindex="8" style="margin:0px" class="ContentPasted0">Test
Dataset Link</a><a href="https://doi.org/10.5281/zenodo.7966275" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-ogsc="" data-linkindex="9" style="margin:0px" class="ContentPasted0"></a><a href="https://doi.org/10.5281/zenodo.7966275" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-ogsc="" data-linkindex="10" style="margin:0px" class="ContentPasted0"></a></span></span></span><span data-ogsc="" data-ogsb="rgb(245, 245, 245)" style="font-size: 13px; font-family: Menlo, Monaco, Consolas, "Courier New", monospace; margin: 0px; background-color: rgb(245, 245, 245);"><a href="https://doi.org/10.5281/zenodo.7966275" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" title="https://doi.org/10.5281/zenodo.7966275" data-loopstyle="linkonly" data-ogsc="" data-linkindex="11" style="margin:0px"><span data-ogsc="" style="font-size:12pt;font-family:"Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif;margin:0px"></span></a></span></div>
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<div><span style="font-size: 10pt;">--</span></div>
<div><span style="font-size: 10pt;"> Best Regards,</span></div>
<div><span style="font-size: 10pt;"> Kartik Seshadri Chari</span></div>
<div><span style="font-size: 10pt;"> Researcher: M-Rock</span></div>
<div><span style="font-size: 10pt;"> </span></div>
<div><span style="font-size: 10pt;"> DFKI GmbH</span></div>
<div><span style="font-size: 10pt;"> Robotics Innovation Center</span></div>
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Telefon: </span><span style="font-family: "Segoe UI", "Segoe UI Web (West European)", "Helvetica Neue", sans-serif; font-size: 10pt; text-align: center; display: inline !important; color: rgb(37, 36, 35); background-color: rgb(250, 250, 250);">+49 421 178
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<div><span style="font-size: 10pt;"> Fax : +49 421 178 45-4150 (Please mark faxes by name)
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<div><span style="font-size: 10pt;"> Email : kartik.chari@dfki.de</span></div>
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<div><span style="font-size: 10pt;"> Weitere Informationen: http://www.dfki.de/robotik
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<div><span style="font-size: 10pt;"> Deutsches Forschungszentrum für Künstliche Intelligenz GmbH</span></div>
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<div><span style="font-size: 10pt;"> Geschäftsführung:</span></div>
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<div><span style="font-size: 10pt;"> Helmut Ditzer </span></div>
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<div><span style="font-size: 10pt;"> Vorsitzender des Aufsichtsrats:</span></div>
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