iLab: From Brain to Machine and Back
iossifidis Lab
Student project within the module “Autonomous Systems” at Ruhr West University of Applied Sciences. Students Leon Heindl,Maik Jankowski Sebastian, Punsmann Leon Schierbach, Tom Robin Staab Supervision Aline Xavier Fidencio and M.Sc. Nique Schmidt Project site git@gitlab.hs-ruhrwest.de:autonomoussystems2021/errpotentail-bci-videogame.git
Angefertigt am 20. Dezember 2021 von Mahdi El Mesoudy
Iossifidis Lab is participating with 5 publications at the Bernstein Conference 2022 in Berlin. Meet us from 14.09 to 16.09.2022 at the TU Berlin see also: https://www.hochschule-ruhr-west.de/die-hrw/news/details/xx/
Closed-loop adaptation of brain-machine interfaces using error-related potentials and reinforcement learning Aline Xavier Fidêncio1, 2, 3 , Christian Klaes1 , Ioannis Iossifidis2 University Hospital Knappschaftskrankenhaus, Ruhr University Bochum, Bochum, Germany Institute of Computer Science, Ruhr West University of Applied Sciences, Mülheim an der Ruhr, Germany Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum, … Read More “Bernstein Conference 2022:Closed-loop adaptation of brain-machine interfaces using error-related potentials and reinforcement learning” »
Marie Dominique Schmidt1 , Ioannis Iossifidis1 Institute of Computer Science, University of Applied Science Ruhr West, Duisburger Str. 100, 45479 Mülheim an der Ruhr, Germany The upper limbs enable us to perform a variety of tasks in everyday life that require strength and a wide range of motion as well as precision. For coordinated motion, … Read More “Bernstein Conference 2022: Linking muscle activity and motion trajectory” »
Felix Grün1, 2 , Muhammed Saif-ur-Rehman1 , Ioannis Iossifidis1 Department for Computer Science, Ruhr-West University of Applied Sciences, Lützowstraße 5, 46236 Bottrop, Germany Institut für Neuroinformatik, Ruhr-University Bochum, Universitätsstraße 150, 44801 Bochum, Germany The relation between the activity of dopaminergic neurons and the temporal difference error in Reinforcement Learning (RL) problems [1] is well-known to … Read More “Bernstein Conference 2022: Exploring Distribution Parameterizations for Distributional Continuous Control” »
Stephan Johann Lehmler, Muhammad Saif-Ur-Rehman, Ioannis Iossifidis Computer Science, Ruhr West University of Applied Science, 45407 Mülheim an der Ruhr, Germany Institute for Neural Computation, Ruhr-University Bochum, 44801 Bochum, Germany Bioelectrical signals gathered via surface electromyography (sEMG) are the basis of muscle-machine-interfaces (MMI), which makes accurate decoding of those signals an important step in aplications … Read More “Bernstein Conference 2022: Modeling subject specfic surface EMG features by means of deep learning” »
Susanne Blex, Tim Sziburis, Ioannis Iossifidis Department of Computer Science, Ruhr West University of Applied Sciences, 45407 Mülheim an der Ruhr, Germany Institute of Neuroinformatics, Ruhr University Bochum, 44801 Bochum, Germany In our research, we model human upper-limb motion by means of the attractor dynamics approach as a promising candidate for the generation of human-like … Read More “BernsteinConference 2022:A dataset of 3D hand transport trajectories determined by inertial measurements from a single sensor” »
Master Student project at Ruhr West University of Applied Sciences. Students Ivan Cedric Mabou and Franck Wafo Supervision M. Sc. Stephan Lehmler Project site https://gitlab.hs-ruhrwest.de/ This study focused on the application of Transfer Learning (TL) to Sentiment Analysis (SA) using pre-trained word embeddings, as well as the transfer of different neural layers. We investigated and … Read More “Master Project: Transfer Learning for Sentiment Analysis using CNN” »
The Workshop would consist of short presentations (10-20 minutes) on related topics followed by group discussion. In preparation for that we should all prepare by researching some part(s) of that topics listed below: time domain features frequency domain features statistical features dimensionality reduction / feature learning feature selection methods (moments, cumulants, zero crossings, …) hardware … Read More “iLab Workshop on Feature Selection, Analysis and Classification (May, 2, 2022)” »
