iLab: From Brain to Machine and Back
iossifidis Lab
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” »
Sebastian Doliwa∗, Andreas Erbsl ̈oh†, Karsten Seidl†‡ and Ioannis Iossifidis∗∗University of Applied Science Ruhr-West, Institute for Computer Science, Mülheim an der Ruhr, Germany†University of Duisburg-Essen, Electronic Components and Circuits, Duisburg, Germany‡Fraunhofer Institute for Microelectronic Circuits and Systems, Duisburg, Germany In the context of the development of an implantable embedded system interfacing brain activity and enabling … Read More “IEEE-Prime: Development of a Scalable Analog Front-End for Brain-Computer Interfaces (accepted)” »
Sebastian Doliwa and Muhammad Ayaz Hussain and Tim Sziburis and Ioannis Iossifidis Timing plays a vital role in the generation of naturalistic behavior satisfying all constraints arising from interacting with a dynamic environment while adapting the planning and execution of action sequences on-line.In biological systems, many of the physiological and anatomical functions follow a particular … Read More “BioRob2022: Biologically Inspired Model for Timed Motion in Robotic Systems (submitted)” »
Bachelorarbeitsthema Significance of the proposed Master thesis The use of autonomous vehicles is vital in the manufacturing and distribution operations. The automated guided vehicles (AGVs) provide reliable and efficient product handling in several industrial applications. Goals of the proposed Master thesis In this Master thesis, we are aiming a deep learning-based solution for pallet detection … Read More “Pallets Detection and position tracking for automated guided vehicles” »
Student project within the module “Autonomous Systems” at Ruhr West University of Applied Sciences. Students Tim Büttel, Jonas Peltzer, Pierre Pospiech, Jannik Schremmern Supervision Tim Sziburis, Susanne Blex, Felix Grün, Prof. Dr. Ioannis Iossifidis Project site https://gitlab.hs-ruhrwest.de/iSystemsStudentProjects/2020/eeg-emg-gamecontroller
Student project within the module “Autonomous Systems” at Ruhr West University of Applied Sciences. Students Marvin Maciejewski, Stefan Fohs, Tristan Rienow Supervision Prof. Dr. Ioannis Iossifidis Project site https://gitlab.hs-ruhrwest.de/iSystemsStudentProjects/2020/eeg-emg-gamecontroller live demo
Student project within the module “Autonomous Systems” at Ruhr West University of Applied Sciences. Students Philipp Lösch, Lars Telöken, Ralf Wenzel, Alex Wichmann Supervision Prof. Dr. Ioannis Iossifidis Project site https://gitlab.hs-ruhrwest.de/iSystemsStudentProjects/2020/eeg-emg-gamecontroller live demo
The robot Baxter ist modeled in Unity3D and a UDP interface is implemented for multi process communication. The UDP interface connects also the real robot with the VR-Robot and can be used to either execute learn motion in the VR on the real robot or just to monitor in the VR the executed movements of … Read More “VR Simulation of Baxter” »
Validating appropriateness and naturalness of human-robot interaction (HRI) is commonly performed by taking subjective measures from human interaction partners, e.g. questionnaire ratings. Although these measures can be of high value for robot designers, they are very sensitive and can be inaccurate and/or biased. In this paper we propose and validate a neuro-based method for objectively … Read More “JournalClub: A neuro-based method for detecting context-dependent erroneous robot action” »
Brain–machine interfaces (BMIs) are promising devices that can be used as neuroprostheses by severely disabled individuals. Brain surface electroencephalograms (electrocorticograms, ECoGs) can provide input signals that can then be decoded to enable communication with others and to control intelligent prostheses and home electronics. However, conventional systems use wired ECoG recordings. Therefore, the development of wireless … Read More “JournalClub: A Fully Implantable Wireless ECoG 128Channel Recording Device for Human Brain–Machine Interfaces” »
