Professur Mess- und Sensortechnik
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Rim Barioul
Telefon: 37960
Raum: Reichenhainer Straße 70, Weinhold-Bau, C25.216 (alt: 2/W216)
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Expertise


  • Research in the field of bioimpedance and EMG signals.
  • Hand gesture recognition based on wrist force myography.
  • American sign language recognition with polymer carbon nanocomposite-based pressure sensors.
Publikationen: 28

2023

k-Tournament Grasshopper Extreme Learner for FMG-Based Gesture Recognition
Autoren: Barioul, R.; Kanoun, O.
Quelle: In: Sensors. - MDPI AG. - 23. 2023, 3, 1096
| DOI: 10.3390/s23031096
Erscheinungsjahr: 2023
ISBN/ ISSN: 1424-8220
Feasibility Study of Detecting the Impact of Caffeine, and Diet on Hand Gestures Classification by sEMG Signals
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2022

Hand Sign Recognition based on Myographic Methods and Random K-Tournament Grasshopper Extreme Learner
Autor: Barioul, R.
Quelle: Chemnitz : Universitätsverlag Chemnitz, 2022. - XIV, 223 S. - Scientific Reports on Measurement and Sensor Technology ; Volume 17
Erscheinungsjahr: 2022
ISBN/ ISSN: 978-3-96100-147-7 ; ISSN 2509-5102 (print), ISSN 2509-5110 (online)
Impedance Spectroscopy: Applications, Advances and Future Trends
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Gesture Based Symbiotic Robot Programming for Agile Production
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sEMG Features Selection by a Chaotic Salp Swarm Algorithm for Hand Gestures Classification
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Real-Time Model for Dynamic Hand Gestures Classification based on Inertial Sensor
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Classification of Dynamic Hand Gestures using Multi Sensors Combinations
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A Hybrid Measurement System for Hand Signs Recognition based on EMG-FMG Measurements
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Random Walk Binary Grey Wolf Optimization for feature selection in sEMG based hand gesture recognition
Autoren: Barioul, R.; Raju, R. M.; Varghese, S.; Kanoun, O.
Quelle: 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 15-17 June 2022, Chemnitz, Germany. - IEEE, 2022
| DOI: 10.1109/civemsa53371.2022.9853687
Erscheinungsjahr: 2022
ISBN/ ISSN: Electronic ISBN:978-1-6654-3445-4 ; Print on Demand(PoD) ISBN:978-1-6654-3446-1 ; Electronic ISSN: 2377-9322 Print on Demand(PoD) ; ISSN: 2377-9314
Electrical Impedance Myography Measurements for Gesture Recognition Data Normalization
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2021

Wearable Smart Band for American Sign Language Recognition With Polymer Carbon Nanocomposite-Based Pressure Sensors
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Six Sensors Bracelet for Force Myography based American Sign Language Recognition
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Comparative of Swarm Intelligence based Wrappers for sEMG Signals Feature Selection
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Surface EMG Based Biometric Person Authentication by a Grasshopper Optimized SVM Algorithm
Autoren: Barioul, R.; Fakhfakh, S.; Suresh, S.; Ben Jmaa Derbel, H.; Kanoun, O.
Quelle: Advanced Methods for Human Biometrics. - Germany : Springer International Publishing, 2021, S. 101 - 117
| DOI: 10.1007/978-3-030-81982-8_6
Erscheinungsjahr: 2021
ISBN/ ISSN: 2194-8402 ; 2194-8410 ; 9783030819811 ; 9783030819828

2020

An Embedded ANN Raspberry PI for Inertial Sensor Based Human Activity Recognition
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A Myopathy’s Diagnosis System Based on Surface EMG Signal Acquisition, Analysis and Classification
Autoren: Barioul, R.; Fakhfakh Ghribi, S.; Derbel, H.; Kanoun, O.
Quelle: Sensors, Circuits and Instrumentation Systems. - Berlin : De Gruyter, 2020, S. 23 - 40. - Advances in Signals, Systems and Devices ; Vol. 10
| DOI: 10.1515/9783110592566-002
Erscheinungsjahr: 2020
ISBN/ ISSN: 978-3-11-059025-8
Surface Electrical Impedance Myography Measurements for Recognition of Numbers in American Sign Language
Autoren: Barioul, R.; AlQudah, A.; Ben Atitallah, B.; Bouchaala, D.; Kanoun, O.
Quelle: 2020 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 22-24 June 2020, Tunisia. - New York : IEEE, 2020
| DOI: 10.1109/civemsa48639.2020.9132745
Erscheinungsjahr: 2020
ISBN/ ISSN: 978-1-7281-4433-7 ; 978-1-7281-4434-4 ; 2377-9322 ; 2377-9314
Four Sensors Bracelet for American Sign Language Recognition based on Wrist Force Myography
Autoren: Barioul, R.; Ghribi, S. F.; Ben Jmaa Derbel, H.; Kanoun, O.
Quelle: 2020 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 22-24 June 2020, Tunisia. - New York : IEEE, 2020
| DOI: 10.1109/civemsa48639.2020.9132742
Erscheinungsjahr: 2020
ISBN/ ISSN: 978-1-7281-4433-7 ; 978-1-7281-4434-4 ; 2377-9322 ; 2377-9314
Simultaneous Pressure Sensors Monitoring System for Hand Gestures Recognition
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Electrodes Placement Investigation for Hand Gesture Recognition Based on Impedance Measurement
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2019

Evaluation of EMG Signal Time Domain Features for Hand Gesture Distinction
Autoren: Barioul, R.; Fakhfakh, S.; Derbel, H.; Kanoun, O.
Quelle: 16th International Multi-Conference on Systems, Signals & Devices (SSD), 21-24 March 2019, Istanbul, 8893277/1-6. - New York : IEEE, 2019
| DOI: 10.1109/SSD.2019.8893277
Erscheinungsjahr: 2019
ISBN/ ISSN: 9781728118215, 9781728118208, 9781728118192
Optimum electrodes placement for Electrical impedance Myography
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Wrist Force Myography (FMG) Exploitation for Finger Signs Distinguishing
Autoren: Barioul, R.; Ghribi Fakhfakh, S.; Abbasi, M. B.; Fasih, A.; Ben-Jmeaa-Derbel, H.; Kanoun, O.
Quelle: 2019 5th International Conference on Nanotechnology for Instrumentation and Measurement (NanofIM),Sfax, Tunisia,30-31 Oct. 2019
| DOI: 10.1109/NanofIM49467.2019.9233484
Erscheinungsjahr: 2019
ISBN/ ISSN: 978-1-7281-7330-6 ; 978-1-7281-7331-3

2018

Toward a low cost, high performance ECG based Biometrics: a preliminary work
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Investigation of Electrical Impedance Myography Utility for Fingers Gesture Distinguishing
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2017

Design and Implementation of a Frequency and Magnitude Modulated Stimulus Generator for Glands Stimulation
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2016

A Low Cost Signal Acquisition Board Design for Myopathy’s EMG Database Construction
Autoren: Barioul, R.; Fakhfakh, S.; Kanoun, O.
Quelle: 13th International Conference on Systems, Signals and Devices, 21-24 March 2016, Leipzig, 1-6. - Leipzig : HTWK, 2016
Erscheinungsjahr: 2016
ISBN/ ISSN: 9781509012919
Journal Articles:1
Book Chapters:2
Conference Papers:6