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Autonomous Systems: Generic Gesture Recognition and Classification for Game Control

Posted on November 6, 2020November 6, 2020 By jannis No Comments on Autonomous Systems: Generic Gesture Recognition and Classification for Game Control
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 November 6, 2020November 6, 2020 By jannis No Comments on Autonomous Systems: ML Based Stock Market Prediction
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 November 2, 2020November 2, 2020 By nique No Comments on Muscle Fatigue Estimator (Thesis-Proposal)
Muscle Fatigue Estimator (Thesis-Proposal)
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)” »

Virtual reality based Machine Learning for Arm-Hand Function Evaluation and Support System (VAFES)

Posted on November 2, 2020November 2, 2020 By jannis No Comments on Virtual reality based Machine Learning for Arm-Hand Function Evaluation and Support System (VAFES)
Virtual reality based Machine Learning for  Arm-Hand Function Evaluation and Support System (VAFES)
press release, research grand, Uncategorized

Consortium: Prof. Dr. Ioannis Iossifidis (PI, consortium lead), Dr. Christian Klaes (PI), Ruhr University Bochum-Knappschaft University Hospital, Prof. Dr. Martin Tegenthoff (PI) Ruhr University- Bergmannsheil University Hospital, Dr. Corinna Weber, Snap GmbH (PI)) Project duration: 01/2020 — 12/2022 Funding volume: € 2.092.917,- Restrictions in hand and arm function are a highly relevant consequence of neurological diseases, … Read More “Virtual reality based Machine Learning for Arm-Hand Function Evaluation and Support System (VAFES)” »

Smart upper extremity rehabilitation with an intelligent soft exoskeleton (REXO)

Posted on November 2, 2020November 2, 2020 By jannis No Comments on Smart upper extremity rehabilitation with an intelligent soft exoskeleton (REXO)
Smart upper extremity rehabilitation with an intelligent soft exoskeleton (REXO)
press release, research grand

Consortium: Prof. Dr. Ioannis Iossifidis (PI, consortium lead), Dr. Christian Klaes (PI), Ruhr University Bochum-Knappschaft University Hospital, Prof. Dr. Martin Tegenthoff (PI) Ruhr University- Bergmannsheil University Hospital, Dr. Corinna Weber, Snap GmbH (PI)) Project duration: 10/2019 — 09/2022 Funding volume: € 2,084,843 Project REXO is among the winners of the lead market health competition — … Read More “Smart upper extremity rehabilitation with an intelligent soft exoskeleton (REXO)” »

Motor‐parietal cortical neuroprosthesis with somatosensory feedback for restoring hand and arm functions in tetraplegic patients

Posted on November 2, 2020November 2, 2020 By jannis No Comments on Motor‐parietal cortical neuroprosthesis with somatosensory feedback for restoring hand and arm functions in tetraplegic patients
Motor‐parietal cortical neuroprosthesis with somatosensory feedback for restoring hand and arm functions in tetraplegic patients
press release, research grand

DFG: Emmy-Noether-Grand: Dr. Christian Klaes (PI, Coordinator), Prof. Dr. Kirsten Schmieder (PI), Prof. Dr. Ioannis Iossifidis (PI).03/2016 — 02/2021 Tetraplegic patients are paralyzed from the neck down. Their severe condition is often the result of car accidents or falls. According to the National Spinal Cord Injury Statistical Center approximately 160.000 persons in the USA are … Read More “Motor‐parietal cortical neuroprosthesis with somatosensory feedback for restoring hand and arm functions in tetraplegic patients” »

Algorithms – Visualisation

Posted on October 9, 2020November 1, 2020 By jannis No Comments on Algorithms – Visualisation
Algorithms – Visualisation
software released, teaching

Visualisation-animation of BSTs, B-Trees and Red-Black-Trees. A modified version of David Galles’ visualisation of BSTs, B-Trees and Red-Black-Trees tree-visualisation A modification of David Galles’ visualisation of BSTs, B-Trees and Red-Black-Trees. Manual Insert: Enter one or more numbers between 0 and 999. Separate them with your favorite non-digit character sequence. Press Insert. Delete: Enter a number. … Read More “Algorithms – Visualisation” »

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

Posted on October 9, 2020November 2, 2020 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)” »

Control of a Brushless DC Motor (Thesis-Proposal)

Posted on October 9, 2020November 2, 2020 By ayaz No Comments on Control of a Brushless DC Motor (Thesis-Proposal)
teaching

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)” »

Comparing and Evaluating Prioritized Experience Replay Methods in Reinforcement Learning (Thesis-Proposal)

Posted on October 9, 2020November 2, 2020 By felix No Comments on Comparing and Evaluating Prioritized Experience Replay Methods in Reinforcement Learning (Thesis-Proposal)
teaching

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)” »

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Recent Posts

  • ProgressClub: On the application of error-related potentials March 3, 2021
  • JournalClub: Physics-enhanced neural networks learn order and chaos February 5, 2021
  • Application of Reinforcement Learning to a Mining System December 15, 2020
  • Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation December 1, 2020
  • SpikeDeep-Classifier: A deep-learning based fully automatic offline spike sorting algorithm November 10, 2020

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LabEvents

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2:00 pm: LabMeeting

March 3, 2021 2:00 pm – 3:00 pm

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2:00 pm: LabMeeting

March 10, 2021 2:00 pm – 3:00 pm

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2:00 pm: LabMeeting

March 17, 2021 2:00 pm – 3:00 pm

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2:00 pm: LabMeeting

March 24, 2021 2:00 pm – 3:00 pm

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2:00 pm: LabMeeting

March 31, 2021 2:00 pm – 3:00 pm

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