Category: teaching

JournalClub: Physics-enhanced neural networks learn order and chaos

Posted on By jannis No Comments on JournalClub: Physics-enhanced neural networks learn order and chaos
journal club, teaching

Artificial neural networks are universal function approximators. They can forecast dynamics, but they may need impractically many neurons to do so, especially if the dynamics is chaotic. We use neural networks that incorporate Hamiltonian dynamics to efficiently learn phase space orbits even as nonlinear systems transition from order to chaos. We demonstrate Hamiltonian neural networks … Read More “JournalClub: Physics-enhanced neural networks learn order and chaos” »

An investigation of existence of the adversarial inputs in the brain-computer interface (BCI) applications (Thesis proposal)

Posted on By Muhammad Saif-Ur-Rehman
teaching

Masterarbeitsthema Abstract: Brain-computer interface (BCI), “the recipe of decoding intended actions from neural signals” is a way forward towards creating an intelligent neuroprosthetics solution. Deep learning (DL) algorithms provide many state-of-the-art results in the rapidly growing BCI applications. Despite this fact, DL algorithms are fragile against synthetic inputs called “adversarial inputs”. These inputs can be … Read More “An investigation of existence of the adversarial inputs in the brain-computer interface (BCI) applications (Thesis proposal)” »

Online SpikeDeep-Classifier: The supervised learning based online spike sorting algorithm (Thesis-Proposal)

Posted on By Muhammad Saif-Ur-Rehman No Comments on Online SpikeDeep-Classifier: The supervised learning based online spike sorting algorithm (Thesis-Proposal)
teaching

Abstract: A spike sorting algorithm allows the identification of the activity of each neural source. We published two studies SpikeDeeptector and SpikeDeep-Classifier in the journal of the neural engineering. This study is based on our previously published studies. In this study, we aim to identify the neural activity of each source, online. More importantly, we … Read More “Online SpikeDeep-Classifier: The supervised learning based online spike sorting algorithm (Thesis-Proposal)” »

Autonomous Systems: MyoBoy: Game control via gesture recognition using the Myo wristband

Posted on By jannis
teaching

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

Autonomous Systems: dialogBot for simulated conversation

Posted on By jannis No Comments on Autonomous Systems: dialogBot for simulated conversation
teaching

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” »

Autonomous Systems: Generic Gesture Recognition and Classification for Game Control

Posted on By jannis No Comments on Autonomous Systems: Generic Gesture Recognition and Classification for Game Control
teaching

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

Autonomous Systems: ML Based Stock Market Prediction

Posted on By jannis No Comments on Autonomous Systems: ML Based Stock Market Prediction
teaching

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

Muscle Fatigue Estimator (Thesis-Proposal)

Posted on By nique
teaching

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)” »

Spike-Deeptector in conjunction with artifact rejector: A deep-learning based feature extractor for online invasive BCI applications (Thesis-Proposal)

Posted on By Muhammad Saif-Ur-Rehman No Comments on Spike-Deeptector in conjunction with artifact rejector: A deep-learning based feature extractor for online invasive BCI applications (Thesis-Proposal)
teaching

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)” »