M. Marković

发表

Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography

Panagiotis K. Artemiadis, Antonio Bicchi, Dario Farina, 2014, Front. Neurorobot..

Biofeedback and its application on the prostheses control

D. Farina, S. Došen, M. Marković, 2014 .

TMR Improves Performance of Compensatory Tracking Using Myoelectric Control

D. Farina, S. Došen, M. Marković, 2017 .

Application of Neural Networks in Video Game Simulation

M. Marković, B. Tesic, Katarina Marković, 2022, Proceedings of the International Scientific Conference - Sinteza 2022.

Vibrotactile mapping of the upper extremity: Absolute perceived intensity is location-dependent; perception of relative changes is not

M. Marković, Jennifer Ernst, A. Schilling, 2022, Frontiers in Neuroscience.

Improving bimanual interaction with a prosthesis using semi-autonomous control

S. Došen, M. Baum, M. Marković, 2019, Journal of NeuroEngineering and Rehabilitation.

User adaptation in Myoelectric Man-Machine Interfaces

Dario Farina, Janne M Hahne, Marko Markovic, 2017, Scientific Reports.

Closed-Loop Multi-Amplitude Control for Robust and Dexterous Performance of Myoelectric Prosthesis

Arndt F Schilling, Strahinja Dosen, Marko Markovic, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Stereovision and augmented reality for closed-loop control of grasping in hand prostheses

Dario Farina, Christian Cipriani, Strahinja Dosen, 2014, Journal of neural engineering.

The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis

Dario Farina, Strahinja Dosen, Leonard F. Engels, 2018, Journal of NeuroEngineering and Rehabilitation.

User adaptation in Myoelectric Man-Machine Interfaces

D. Farina, M. Marković, J. Hahne, 2017, Scientific Reports.

Multichannel Electrotactile Feedback With Spatial and Mixed Coding for Closed-Loop Control of Grasping Force in Hand Prostheses

Thierry Keller, Dario Farina, Strahinja Dosen, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Tactile feedback is an effective instrument for the training of grasping with a prosthesis at low- and medium-force levels

Dario Farina, Bernhard Graimann, Strahinja Dosen, 2017, Experimental Brain Research.

Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis

Thierry Keller, Dario Farina, Matija Štrbac, 2016 .

Myocontrol is closed-loop control: incidental feedback is sufficient for scaling the prosthesis force in routine grasping

Dario Farina, Strahinja Dosen, Leonard F. Engels, 2018, Journal of NeuroEngineering and Rehabilitation.

EMG Biofeedback for online predictive control of grasping force in a myoelectric prosthesis

Dario Farina, Bernhard Graimann, Strahinja Dosen, 2015, Journal of NeuroEngineering and Rehabilitation.

Electrotactile EMG feedback improves the control of prosthesis grasping force

Dario Farina, Bernhard Graimann, Strahinja Dosen, 2016, Journal of neural engineering.

EMG Biofeedback for online predictive control of grasping force in a myoelectric prosthesis

D. Farina, S. Došen, B. Graimann, 2015, Journal of NeuroEngineering and Rehabilitation.

GLIMPSE: Google Glass interface for sensory feedback in myoelectric hand prostheses

Dario Farina, Bernhard Graimann, Strahinja Dosen, 2017, Journal of neural engineering.

Artificial Perception and Semiautonomous Control in Myoelectric Hand Prostheses Increases Performance and Decreases Effort

Dario Farina, Strahinja Dosen, Arndt F. Schilling, 2021, IEEE Transactions on Robotics.

Humans Can Integrate Augmented Reality Feedback in Their Sensorimotor Control of a Robotic Hand

Dario Farina, Christian Cipriani, Francesco Clemente, 2017, IEEE Transactions on Human-Machine Systems.

The effect of calibration parameters on the control of a myoelectric hand prosthesis using EMG feedback

S. Došen, M. Marković, J. Dideriksen, 2021, Journal of neural engineering.

Building an internal model of a myoelectric prosthesis via closed-loop control for consistent and routine grasping

Dario Farina, Strahinja Dosen, Markus Henkel, 2015, Experimental Brain Research.

Sensory Feedback in Prosthetics: A Standardized Test Bench for Closed-Loop Control

Dario Farina, Strahinja Dosen, Marko Markovic, 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Building an internal model of a myoelectric prosthesis via closed-loop control for consistent and routine grasping

D. Farina, S. Došen, M. Marković, 2015, Experimental Brain Research.

Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis

Dario Farina, Bernhard Graimann, Strahinja Dosen, 2015, Journal of neural engineering.

Microsoft Kinect-Based Artificial Perception System for Control of Functional Electrical Stimulation Assisted Grasping

Dejan B Popović, Matija Strbac, Marko Marković, 2014, BioMed research international.