Michael Jöbges

Orcid: 0000-0001-5126-4821

According to our database1, Michael Jöbges authored at least 9 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Machine Learning based Real Time Detection of Freezing of Gait of Parkinson Patients Running on a Body Worn Device.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023

2020
Myoelectric pattern recognition of hand motions for stroke rehabilitation.
Biomed. Signal Process. Control., 2020

2019
Rehab-Net: Deep Learning Framework for Arm Movement Classification Using Wearable Sensors for Stroke Rehabilitation.
IEEE Trans. Biomed. Eng., 2019

2018
CORDIC Framework for Quaternion-based Joint Angle Computation to Classify Arm Movements.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017
Low-Complexity Framework for Movement Classification Using Body-Worn Sensors.
IEEE Trans. Very Large Scale Integr. Syst., 2017

Let's do this together: Bi-Manu-Interact, a novel device for studying human haptic interactive behavior.
Proceedings of the International Conference on Rehabilitation Robotics, 2017

2016
Detecting Elementary Arm Movements by Tracking Upper Limb Joint Angles With MARG Sensors.
IEEE J. Biomed. Health Informatics, 2016

2015
Anforderungsanalyse für die nutzergerechte Gestaltung eines Bedienkonzepts für robotergestützte Telerehabilitationssysteme in der motorischen Schlaganfallrehabilitation.
Proceedings of the Mensch und Computer 2015, 2015

Real-time arm movement recognition using FPGA.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015


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