iLab: From Brain to Machine and Back
iossifidis Lab
Student project within the module “Autonomous Systems” at Ruhr West University of Applied Sciences. Students Nils Biernacki, Lukas Kandora, Katharina Stefanski, Philipp Student Supervision M.Sc. Nique Schmidt and 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 Lars Buck, Tim Habermann Supervision M.Sc. Stephan Lehmler, Prof. Dr. Ioannis Iossifidis Project site The project aim to create a dialog bot with an animated avatar able to have a casual conversation and to assist the user. The dialog bot is supposed … Read More “Autonomous Systems: dialogBot for simulated conversation” »
Student project within the module “Autonomous Systems” at Ruhr West University of Applied Sciences. Students Merih Türkoglu, Matthias Weibrecht Supervision Prof. Dr. Ioannis Iossifidis Project site https://gitlab.hs-ruhrwest.de/iSystemsStudentProjects/2020/generic-gesture-recognition-and-classification-for-game-vr-control The goal of this project is to develop a gesture recognition based on common webcams and low budget hardware to implement hand gesture control in any application. live demo
Student project within the module “Autonomous Systems” at Ruhr West University of Applied Sciences. Students Alexander Klee, Mahdi El Mesoudy,Jan Dehlen Supervision M.Sc. Felix Grün and M.Sc. Stephan Lehmer Prozent site https://gitlab.hs-ruhrwest.de/iSystemsStudentProjects/2020/ml-based-stockmarket-prediction live demo of the command line tool
Everyone has experienced muscle fatigue during daily life, but it is more common during physical training or after an illness. In our research project, the muscle fatigue estimator is used as a control unit that regulates the amount of support provided by an exoskeletal system. To be more precise, the estimator is intended to predict … Read More “Muscle Fatigue Estimator (Thesis-Proposal)” »
Brain-computer interface (BCI) systems are a rapidly growing technology that controlsexternal devices, e.g. a neuroprosthetic limb, by directly decoding intended movements from the recorded neural activities and bypassing the spinal cord. Decoding neural activity is a two-step process, feature vector extraction and classification/regression. In online BCI applications, non-stationary behavior of neural signals makes the process of … Read More “Spike-Deeptector in conjunction with artifact rejector: A deep-learning based feature extractor for online invasive BCI applications (Thesis-Proposal)” »
contact: Muhammad Ayaz Hussain, M. Sc., Tel: +49 208 88254806muhammad.hussain@hs-ruhrwest.de A brushless dc (BLDC) motor drive is characterized by higher efficiency, lower maintenance, and higher cost. In a market driven by profit margins, the appliance industry is reluctant to replace the conventional motor drives with the advanced motor drives (BLDC) due to their higher cost. … Read More “Control of a Brushless DC Motor (Thesis-Proposal)” »
Reinforcement Learning (RL) is a subdomain of machine learning that has developed rapidly in recent years and has become increasingly popular. In reinforcement learning an agent learns from experience using a scalar reward signal, in contrast to learning from examples of labelled data as it is done in supervised machine learning. The agent interacts with … Read More “Comparing and Evaluating Prioritized Experience Replay Methods in Reinforcement Learning (Thesis-Proposal)” »
Reinforcement Learning (RL) is a subdomain of machine learning that has developed rapidly in recent years and has become increasingly popular. In reinforcement learning an agent learns from experience using a scalar reward signal, in contrast to learning from examples of labelled data as it is done in supervised machine learning. The agent interacts with … Read More “Comparing and Evaluating Distributional Reinforcement Learning Methods (Thesis Proposal)” »
The developmental process of any kind of systems, either single embedded components or complex composite system like ADAS, is supposed to reflect all constraints of the desired task and boundary conditions of the environment in order to be part of the solution. Advanced driver assistant systems acting in natural unstructured environments, interacting with human operators, … Read More “PECCS2012: A Versatile Simulated Reality Framework: From Embedded Components to ADAS” »
