Prosthetic arm Controller Based on Brainwaves Spectrum EEG Sensor
The purpose of this study is to discuss the brain wave system that can move the prosthetic arm based on brain wave activity. The sensor used to detect EEG brainwave activity uses a mobile mind wave sensor. Movement and detection of brainwave signals is carried out in the Lab VIEW application program...
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| Published in | IOP conference series. Materials Science and Engineering Vol. 662; no. 5; pp. 52017 - 52024 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Bristol
IOP Publishing
01.11.2019
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1757-8981 1757-899X 1757-899X |
| DOI | 10.1088/1757-899X/662/5/052017 |
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| Abstract | The purpose of this study is to discuss the brain wave system that can move the prosthetic arm based on brain wave activity. The sensor used to detect EEG brainwave activity uses a mobile mind wave sensor. Movement and detection of brainwave signals is carried out in the Lab VIEW application program. Plan this robot to make movements based on brain wave activity, utilizing blinks and attention. This research method through a process carried out to control the prosthetic arm. Where there are 2 modes, the first mode for the selection of movements with a blink of an eye, and the second mode of attention to move the fake arm. Based on research results Prosthetic arms can make movements that are designed for extension, flexion, supination or pronation and increase or depression. The prosthetic arm can make movements based on the subject's commands by utilizing brain wave activity. With a speed response time of 9.54 seconds to do all the moves. In addition to the advantages of this artificial arm, it can accommodate objects with a diameter of 2.2 cm to 6 cm. With an average percentage success of 6 experiments conducted by 86.67%. |
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| AbstractList | The purpose of this study is to discuss the brain wave system that can move the prosthetic arm based on brain wave activity. The sensor used to detect EEG brainwave activity uses a mobile mind wave sensor. Movement and detection of brainwave signals is carried out in the Lab VIEW application program. Plan this robot to make movements based on brain wave activity, utilizing blinks and attention. This research method through a process carried out to control the prosthetic arm. Where there are 2 modes, the first mode for the selection of movements with a blink of an eye, and the second mode of attention to move the fake arm. Based on research results Prosthetic arms can make movements that are designed for extension, flexion, supination or pronation and increase or depression. The prosthetic arm can make movements based on the subject’s commands by utilizing brain wave activity. With a speed response time of 9.54 seconds to do all the moves. In addition to the advantages of this artificial arm, it can accommodate objects with a diameter of 2.2 cm to 6 cm. With an average percentage success of 6 experiments conducted by 86.67%. |
| Author | Utama, J Palada, G |
| Author_xml | – sequence: 1 givenname: J surname: Utama fullname: Utama, J email: Jana.utama@email.unikom.ac.id organization: Department of Electrical Engineering, Universitas Komputer Indonesia , Indonesia – sequence: 2 givenname: G surname: Palada fullname: Palada, G organization: Department of Electrical Engineering, Universitas Komputer Indonesia , Indonesia |
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| Cites_doi | 10.1088/1757-899X/407/1/012081 10.1088/1757-899X/407/1/012062 10.5815/ijisa.2015.06.05 10.1088/1757-899X/407/1/012080 10.1177/1550059414522229 10.48084/etasr.2146 10.1016/j.procs.2017.09.158 |
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| References | Setiawan (MSE_662_5_052017bib11) 2018; 407 Beyrouthy (MSE_662_5_052017bib10) Zhi-Hao (MSE_662_5_052017bib9) 2017 Abo-Zahhad (MSE_662_5_052017bib6) 2015; 7 Mahajan (MSE_662_5_052017bib4) 2017; 115 Ang (MSE_662_5_052017bib5) 2015; 46 Zhang (MSE_662_5_052017bib1) Tsipouras (MSE_662_5_052017bib2) 2018; 8 Bright (MSE_662_5_052017bib3) Utama (MSE_662_5_052017bib7) 2018; 407 Muresan (MSE_662_5_052017bib8) 2018; 407 |
| References_xml | – start-page: 479 ident: MSE_662_5_052017bib3 article-title: EEG-based brain controlled prosthetic arm – start-page: 61 year: 2017 ident: MSE_662_5_052017bib9 article-title: Controlling DC motor using eye blink signals based on LabVIEW – volume: 407 year: 2018 ident: MSE_662_5_052017bib11 article-title: Web vulnerability analysis and implementation publication-title: IOP Conference Series: Materials Science and Engineering doi: 10.1088/1757-899X/407/1/012081 – volume: 407 year: 2018 ident: MSE_662_5_052017bib8 article-title: Relation between internet and social media to support sales in business publication-title: IOP Conference Series: Materials Science and Engineering doi: 10.1088/1757-899X/407/1/012062 – start-page: 404 ident: MSE_662_5_052017bib10 article-title: EEG mind controlled smart prosthetic arm – volume: 7 start-page: 48 year: 2015 ident: MSE_662_5_052017bib6 article-title: A new EEG acquisition protocol for biometric identification using eye blinking signals publication-title: International Journal of Intelligent Systems and Applications doi: 10.5815/ijisa.2015.06.05 – volume: 407 year: 2018 ident: MSE_662_5_052017bib7 article-title: Design of electric wheelchair controller based on brainwaves spectrum EEG sensor publication-title: IOP Conference Series: Materials Science and Engineering doi: 10.1088/1757-899X/407/1/012080 – start-page: 554 ident: MSE_662_5_052017bib1 article-title: Research on brain control prosthetic hand – volume: 46 start-page: 310 year: 2015 ident: MSE_662_5_052017bib5 article-title: A randomized controlled trial of EEG-based motor imagery brain-computer interface robotic rehabilitation for stroke publication-title: Clinical EEG and neuroscience doi: 10.1177/1550059414522229 – volume: 8 start-page: 3310 year: 2018 ident: MSE_662_5_052017bib2 article-title: Uterine EMG Signals Spectral Analysis for Pre-Term Birth Prediction publication-title: Engineering, Technology & Applied Science Research doi: 10.48084/etasr.2146 – volume: 115 start-page: 812 year: 2017 ident: MSE_662_5_052017bib4 article-title: Real Time EEG Based Cognitive Brain Computer Interface for Control Applications via Arduino Interfacing publication-title: Procedia Comput. Sci. doi: 10.1016/j.procs.2017.09.158 |
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| SubjectTerms | Brain Brain research Electroencephalography Motion perception Prostheses Response time Sensors Sharks |
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| Title | Prosthetic arm Controller Based on Brainwaves Spectrum EEG Sensor |
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