TY - CHAP A1 - Krol, Laurens R. A1 - Zander, Thorsten O. ED - Fairclough, Stephen H. ED - Zander, Thorsten O. T1 - Defining neuroadaptive technology: the trouble with implicit human-computer interaction T2 - Current Research in Neuroadaptive Technology Y1 - 2022 SN - 978-0-12-821413-8 U6 - https://doi.org/10.1016/B978-0-12-821413-8.00007-5 SP - 17 EP - 42 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Krol, Laurens R. A1 - Klaproth, Oliver W. A1 - Vernaleken, Christoph A1 - Russwinkel, Nele A1 - Zander, Thorsten O. ED - Fairclough, Stephen H. ED - Zander, Thorsten O. T1 - Towards neuroadaptive modeling: assessing the cognitive states of pilots through passive brain-computer interfacing T2 - Current Research in Neuroadaptive Technology Y1 - 2022 SN - 978-0-12-821413-8 U6 - https://doi.org/10.1016/B978-0-12-821413-8.00009-9 SP - 59 EP - 73 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Krol, Laurens R. A1 - Pawlitzki, Juliane A1 - Lotte, Fabien A1 - Gramann, Klaus A1 - Zander, Thorsten O. T1 - SEREEGA: Simulating event-related EEG activity T2 - Journal of Neuroscience Methods KW - General Neuroscience Y1 - 2018 U6 - https://doi.org/10.1016/j.jneumeth.2018.08.001 SN - 0165-0270 VL - 309 SP - 13 EP - 24 ER - TY - GEN A1 - Gallegos Ayala, Guillermo I. A1 - Haslacher, David A1 - Krol, Laurens R. A1 - Soekadar, Surjo R. A1 - Zander, Thorsten O. T1 - Assessment of mental workload across cognitive tasks using a passive brain-computer interface based on mean negative theta-band amplitudes T2 - Frontiers in Neuroergonomics N2 - Brain-computer interfaces (BCI) can provide real-time and continuous assessments of mental workload in different scenarios, which can subsequently be used to optimize human-computer interaction. However, assessment of mental workload is complicated by the task-dependent nature of the underlying neural signals. Thus, classifiers trained on data from one task do not generalize well to other tasks. Previous attempts at classifying mental workload across different cognitive tasks have therefore only been partially successful. Here we introduce a novel algorithm to extract frontal theta oscillations from electroencephalographic (EEG) recordings of brain activity and show that it can be used to detect mental workload across different cognitive tasks. We use a published data set that investigated subject dependent task transfer, based on Filter Bank Common Spatial Patterns. After testing, our approach enables a binary classification of mental workload with performances of 92.00 and 92.35%, respectively for either low or high workload vs. an initial no workload condition, with significantly better results than those of the previous approach. It, nevertheless, does not perform beyond chance level when comparing high vs. low workload conditions. Also, when an independent component analysis was done first with the data (and before any additional preprocessing procedure), even though we achieved more stable classification results above chance level across all tasks, it did not perform better than the previous approach. These mixed results illustrate that while the proposed algorithm cannot replace previous general-purpose classification methods, it may outperform state-of-the-art algorithms in specific (workload) comparisons. KW - Computer Networks and Communications KW - Hardware and Architecture KW - Software Y1 - 2023 U6 - https://doi.org/10.3389/fnrgo.2023.1233722 SN - 2673-6195 VL - 4 ER - TY - CHAP A1 - Pawlitzki, Juliane A1 - Krol, Laurens R. A1 - Zander, Thorsten O. ED - Fairclough, Stephen H. ED - Zander, Thorsten O. T1 - The impact of electrode shifts on BCI classifier accuracy T2 - Current Research in Neuroadaptive Technology Y1 - 2022 SN - 978-0-12-821413-8 U6 - https://doi.org/10.1016/B978-0-12-821413-8.00016-6 SP - 201 EP - 220 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Zander, Thorsten O. A1 - Kothe, Christian T1 - Towards passive brain–computer interfaces: applying brain–computer interface technology to human–machine systems in general T2 - Journal of Neural Engineering KW - Cellular and Molecular Neuroscience KW - Biomedical Engineering Y1 - 2011 U6 - https://doi.org/10.1088/1741-2560/8/2/025005 SN - 1741-2560 VL - 8 IS - 2 ER - TY - GEN A1 - Krol, Laurens R. A1 - Haselager, Pim A1 - Zander, Thorsten O. T1 - Erratum: Cognitive and affective probing: a tutorial and review of active learning for neuroadaptive technology (2020 Journal of Neural Engineering 17.012001) T2 - Journal of Neural Engineering KW - Cellular and Molecular Neuroscience KW - Biomedical Engineering Y1 - 2020 U6 - https://doi.org/10.1088/1741-2552/ab8a6f SN - 1741-2552 VL - 17 IS - 4 ER - TY - GEN A1 - Zander, Thorsten O. A1 - Lehne, Moritz A1 - Ihme, Klas A1 - Jatzev, Sabine A1 - Correia, Joao A1 - Kothe, Christian A1 - Picht, Bernd A1 - Nijboer, Femke T1 - A Dry EEG-System for Scientific Research and Brain–Computer Interfaces T2 - Frontiers in Neuroscience KW - General Neuroscience Y1 - 2011 U6 - https://doi.org/10.3389/fnins.2011.00053 SN - 1662-4548 VL - 5 ER - TY - GEN A1 - Pfurtscheller, Gert A1 - Allison, Brendan Z. A1 - Brunner, Clemens A1 - Bauernfeind, Gunther A1 - Solis-Escalante, Teodoro A1 - Scherer, Reinhold A1 - Zander, Thorsten O. A1 - Mueller-Putz, Gernot A1 - Neuper, Christa A1 - Birbaumer, Niels T1 - The hybrid BCI T2 - Frontiers in Neuroscience KW - General Neuroscience Y1 - 2010 U6 - https://doi.org/10.3389/fnpro.2010.00003 SN - 1662-453X VL - 4 ER - TY - GEN A1 - Krol, Laurens R. A1 - Haselager, Pim A1 - Zander, Thorsten O. T1 - Cognitive and affective probing: a tutorial and review of active learning for neuroadaptive technology T2 - Journal of Neural Engineering KW - Cellular and Molecular Neuroscience KW - Biomedical Engineering Y1 - 2020 U6 - https://doi.org/10.1088/1741-2552/ab5bb5 SN - 1741-2552 VL - 17 IS - 1 ER -