MOZAK – RAČUNAR INTERFEJS I NJEGOVA PRIMENA U UPRAVLJANJU DRONOM
Ključne reči:
Mozak,, Elektrokortikografija (ECoG), Elektroencefalografija (EEG), Brain-Computer Interface (BCI), AR Drone 2.0, Emotiv Insight, BCI200
Apstrakt
U radu su detaljno objašnjeni osnovni principi BCI tehnologije odnosno interfejsa između mozga i računara kao i njegova primena u ipravljanju dronom. Prikazan je AR Drone 2.0 i opisan je njegov princip rada kao i kontrola drona, i konačno uređaj Emotiv Insight dizajniran za BCI. Dat je opis softvera uređaja koji je dizajniran za ovaj uređaj kao i BCI200 platforma dizajnirana za razvoj otvorenog koda za upotrebu u istraživačke ili obrazovne svrhe u oblasti biomedicinskog inženjerstva.
Reference
[1] Brain–Computer Interface Spellers: A Review, Faculty of Technology and Bionics, Rhine-Waal University of Applied Sciences, 47533 Kleve, Germany; 2018
[2] Brain computer interface: control signals review, Department of Computer Engineering, Cairo University, Egypt, 2016
[3] Fully Implanted Brain–Computer Interface in a Locked-In Patient with ALS, University Medical Center Utrecht, Utrecht, the Netherlands, 2016
[4] A comprehensive review of EEG-based brain-computer interface paradigms, 1Department of Neurology, University of California, San Francisco/Berkeley, CA 94158, USA, 2018
[5] Age and gender classification using brain–computer interface, Department of Computer Science and Engineering, DCRUST, Sonipat 131039, India, 2018
[6] Brain Computer Interface Based Communication in the Completely Locked-In State, Institute of Medical Psychology and Behavioral Neurobiology, University of TuÈbingen, TuÈbingen, Germany, 2017
[7] High performance communication by people with paralysis using an intracortical brain-computer interface, Department of Neurosurgery, Stanford University, Stanford, United States; 2019
[8] Brain computer interface: A comprehensive survey, Department of Computer Science and Engineering, National Institute of Technology Goa, India, 2019
[9] Brain Computer Interface: EEG Signal Preprocessing Issues and Solutions, University of Louisiana at Lafayette, Lafayette, LA, USA, 2017
[10] Wireless Brain Computer Interface for Smart Home and Medical System, Muhammad Wasim Munir, 2018
[11] Brain-Computer Interface: challenges and research perspectives, Computer Science Department, Faculty of Automatic Control and Computer Science ”Gheorghe Asachi” Technical Univeristy of Iai Iai, Romania, 2019
[12] The Study of Influence of Sound on Visual ERP-Based Brain Computer Interface, Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300132, China
[13] Brain-Computer Interface-Based Humanoid Control: A Review, Department of Electrical and Electronics, Birla Institute of Technology & Science, Pilani 333031, India, 2020
[14] Longitudinal Analysis of Stroke Patients’ Brain Rhythms during an Intervention with a Brain-Computer Interface, Electrical Engineering Department, Universidad Autónoma Metropolitana Unidad Iztapalapa, Mexico City 09340, Mexico, 2019
[15] An EEG-Based Brain Computer Interface for Emotion Recognition and Its Application in Patients with Disorder of Consciousness, 2018
[16] A Beginner’s Guide to Brain-Computer Interface and Convolutional Neural Networks sa linka: https://towardsdatascience.com/a-beginners-guide-to-brain-computer-interface-and-convolutional-neural-networks-9f35bd4af948
[17] Brain-Computer Interfaces in Medicine sa linka: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3497935/
[18] Using BCI Devices to Harness the Power of Controlling Drones with your Brain, Kerollin Francois
[19] Performance Analysis of Brain Control Interface in Drone Applications, Sarah North, Ahmad Alissa, Josh Cooper, Adnan Rashied, Eric Rawls, Jason Walters, Utku “Victor” Sahin, Kade Randell and Cheyenne Sancho, Department of Computer Science College of Computing and Software Engineering Kennesaw State University, 2020
[20] Stojanka Đurić, Klinička neurofiziologija, Prosveta, Niš, 1992.
[21] Ivan Mađarević, EEG tehnika i kognitivni evocirani potencijali, Univerzitet u Novom Sadu, Prirodno-Matematički fakultet, Novi Sad, Srbija, 2011.
[22] Katarzyna Blinowska Piotr Durka, Electroencephalography (EEG), April 2006
[23] Quadcopter control using a BCI; Sebastian Daniel Rosca, Monica Leba, Andreea Cristina Ionica, University of Petrosani
[2] Brain computer interface: control signals review, Department of Computer Engineering, Cairo University, Egypt, 2016
[3] Fully Implanted Brain–Computer Interface in a Locked-In Patient with ALS, University Medical Center Utrecht, Utrecht, the Netherlands, 2016
[4] A comprehensive review of EEG-based brain-computer interface paradigms, 1Department of Neurology, University of California, San Francisco/Berkeley, CA 94158, USA, 2018
[5] Age and gender classification using brain–computer interface, Department of Computer Science and Engineering, DCRUST, Sonipat 131039, India, 2018
[6] Brain Computer Interface Based Communication in the Completely Locked-In State, Institute of Medical Psychology and Behavioral Neurobiology, University of TuÈbingen, TuÈbingen, Germany, 2017
[7] High performance communication by people with paralysis using an intracortical brain-computer interface, Department of Neurosurgery, Stanford University, Stanford, United States; 2019
[8] Brain computer interface: A comprehensive survey, Department of Computer Science and Engineering, National Institute of Technology Goa, India, 2019
[9] Brain Computer Interface: EEG Signal Preprocessing Issues and Solutions, University of Louisiana at Lafayette, Lafayette, LA, USA, 2017
[10] Wireless Brain Computer Interface for Smart Home and Medical System, Muhammad Wasim Munir, 2018
[11] Brain-Computer Interface: challenges and research perspectives, Computer Science Department, Faculty of Automatic Control and Computer Science ”Gheorghe Asachi” Technical Univeristy of Iai Iai, Romania, 2019
[12] The Study of Influence of Sound on Visual ERP-Based Brain Computer Interface, Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, Hebei University of Technology, Tianjin 300132, China
[13] Brain-Computer Interface-Based Humanoid Control: A Review, Department of Electrical and Electronics, Birla Institute of Technology & Science, Pilani 333031, India, 2020
[14] Longitudinal Analysis of Stroke Patients’ Brain Rhythms during an Intervention with a Brain-Computer Interface, Electrical Engineering Department, Universidad Autónoma Metropolitana Unidad Iztapalapa, Mexico City 09340, Mexico, 2019
[15] An EEG-Based Brain Computer Interface for Emotion Recognition and Its Application in Patients with Disorder of Consciousness, 2018
[16] A Beginner’s Guide to Brain-Computer Interface and Convolutional Neural Networks sa linka: https://towardsdatascience.com/a-beginners-guide-to-brain-computer-interface-and-convolutional-neural-networks-9f35bd4af948
[17] Brain-Computer Interfaces in Medicine sa linka: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3497935/
[18] Using BCI Devices to Harness the Power of Controlling Drones with your Brain, Kerollin Francois
[19] Performance Analysis of Brain Control Interface in Drone Applications, Sarah North, Ahmad Alissa, Josh Cooper, Adnan Rashied, Eric Rawls, Jason Walters, Utku “Victor” Sahin, Kade Randell and Cheyenne Sancho, Department of Computer Science College of Computing and Software Engineering Kennesaw State University, 2020
[20] Stojanka Đurić, Klinička neurofiziologija, Prosveta, Niš, 1992.
[21] Ivan Mađarević, EEG tehnika i kognitivni evocirani potencijali, Univerzitet u Novom Sadu, Prirodno-Matematički fakultet, Novi Sad, Srbija, 2011.
[22] Katarzyna Blinowska Piotr Durka, Electroencephalography (EEG), April 2006
[23] Quadcopter control using a BCI; Sebastian Daniel Rosca, Monica Leba, Andreea Cristina Ionica, University of Petrosani
Objavljeno
2021-10-10
Sekcija
Biomedicinsko inženjerstvo
