The upper limbs are crucial in performing daily tasks that require strength, a wide range of motion, and precision. To achieve coordinated motion, planning and timing are critical. Sensory information about the target and the current body state is essential, as well as integrating past experiences, represented by pre-learned inverse dynamics that generate associated muscle … Read More “BCCN23: The link between muscle activity and upper limb kinematics” »
Category: teaching
Variability analysis bears the potential to differentiate between healthy and pathological human movements [1]. Our study is conducted in the context of developing a portable glove for the diagnosis of movement disorders. This proposal has methodical as well as technical requirements. Generally, the identification of movement disorders via an analysis of motion data needs to … Read More “BCCN23: Variability study of human hand motion during 3D center-out tasks captured for the diagnosis of movement disorders” »
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
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” »
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” »
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