Presented by: V.Lakshana Regd. No.: Information Technology CET, Bhubaneswar
|
|
- Alice Long
- 6 years ago
- Views:
Transcription
1 BRAIN COMPUTER INTERFACE Presented by: V.Lakshana Regd. No.: Information Technology CET, Bhubaneswar
2 Brain Computer Interface from fiction to reality...
3 In the futuristic vision of the Wachowski brothers movie trilogy The Matrix, humans dive into a virtual world by connecting their brains directly to a computer.. MOVIE FICTION: THE MATRIX
4 OVERVIEW Definition General Principle Background Component Simplified model of BCI Training of BCI system Current BCI approaches EEG Based BCI BCI for Tetraplegics Brain controlled robots Present Development and Future Applications BCI for Healthy Users Advantages Computational Challenges Future Expansion Conclusion
5 DEFINITION A Brain Computer Interface (BCI) is a collaboration in which a brain accepts and controls a mechanical device as a natural part of its representation of the body.
6 GENERAL PRINCIPLE (a) (b) (c) (a) In healthy subjects, primary motor area sends movement commands to muscles via spinal cord. (b) In paralyzed people this pathway is interrupted. (c) Computer based decoder translates this activity into commands for muscle control.
7 BACKGROUND Signals from an array of neurons read. Cerebral electric activity recorded. Signals are amplified. Transmitted to computer Transformed to device control commands. Using computer chips and programs. Signals translated into action.
8
9 BASIC COMPONENTS The implant device, or chronic multielectrode array The signal recording and processing section An external device the subject uses to produce & control motion A feedback section to the subject
10 Implant Device Conduct electricity Biocompatible material(teflon) Placed on the scalp Chemically inert Provide the electrical contact between the skin and the EEG recording apparatus AN ARRAY OF MICROELECTRODES BLOCK DIAGRAM OF THE NEUROTROPHIC ELECTRODES FOR IMPLANTATION IN HUMAN PATIENTS
11 Signal Processing Section Multichannel Acquisition Systems Spike Detection
12 SIMPLIFIED MODEL OF THE BCI SYSTEM
13 BLOCK DIAGRAM FOR LEARNING MODE TRAINING OF BCI SYSTEM Two different approaches: Pattern Recognition Approach Operant Conditioning Approach BLOCK DIAGRAM FOR LEARNING MODE
14 CURRENT BCI APPROACHES BCI APPROACHES INVASIVE SEMI- INVASIVE NON- INVASIVE
15 EEG Based BCI Electroencephalography (EEG) is a method used in measuring the electrical activity of the brain. The basic frequency of the EEG range is classified into five bands for purposes of EEG analysis called brain rhythms. The alpha rhythm is one of the principal components of the EEG and is an indicator of the state of alertness of the brain. Band Frequency [Hz] Delta Theta 4-8 Alpha 8-13 Beta Gamma 22-30
16 Development of BCI Early work Algorithms to reconstruct movements from motor cortex neurons, which control movement were developed in 1970s. The first Intra-Cortical Brain-Computer Interface was built by implanting neurotrophiccone electrodes into monkeys. After conducting initial studies in rats during the 1990s, researchers developed Brain Computer Interfaces that decoded brain activity in monkeys and used the devices to reproduce monkey movements in robotic arms. Present Developments BCI for Tereaplegics Brain controlled Robot BRAINGATE BCI ATR and HONDA s new BCI BCI2000
17 BCI for Tetraplegics 6- channel EEG BCI used. Sensory & motor cortices activated during attempts. Control scheme sends movement intention to Prosthetic Controller. Prosthetic returns force sensory information to Controller. Feedback processed and grip is adjusted.
18 BRAIN CONTROLLED ROBOTS Robot hand mimics subject s finger movements. Signals extracted and decoded by computer program. Transferred to hand shaped robot. To simulate original movement performed. Robot executes commands using onboard sensor readings.
19 BRAINGATE BCI The Braingate device can provide motor-impaired patients a mode of communication through the translation of thought into direct computer control.
20 FEATURES OF BRAINGATE BCI Neural Interface Device. Consists of signal sensor and external processors. Converts neural signals to output signals. Sensor consists of tiny chip with electrode sensors. Chip implanted on brain surface. Cable connects sensor to external signal processor. Create communication o/p using decoding software.
21 ATR & HONDA DEVELOP NEW BCI BCI for manipulating robots using brain signals. Enables decoding natural brain activity. MRI based neural decoding. No invasive incision of head and Brain. By tracking haemodynamic responses in brain. Accuracy of 85%
22 BCI2000 BCI2000 is an open-source, generalpurpose system for BCI research. It can also be used for data acquisition, stimulus presentation, and brain monitoring applications. During operation, BCI2000 stores data in a common format (BCI2000 native or GDF). BCI2000 also includes several tools for data import or conversion and export facilities into ASCII. BCI2000 also facilitates interactions with other software.
23 BCI APPLICATIONS Medical applications(restoration of a communication channel for patients with lockedin syndrome and the control of neuroprostheses in patients affected by spinal cord injuries ) Military applications Military applications Counter terrorism(10 times faster image search) multimedia and virtual reality applications
24 BCI FOR HEALTHY USERS Induced disability. Ease of use in hardware. Ease of use in software. Otherwise unavailable information. Improved training or performance. Confidentiality. Speed. Novelty.
25 DRAWBACKS EEGs measure tiny voltage potentials. The signal is weak and prone to interference. Each neuron is constantly sending and receiving signals through a complex web of connections. There are chemical processes involved as well, which EEGs can't pick up on. The equipment heavy(~10 lbs.) & hence not portable.
26 COMPUTATIONAL CHALLENGES AND FUTURE IMPLEMENTATIONS Minimally invasive surgical methods. Next generation Neuroprosthesis. Vision prosthesis. BCI for totally paralyzed. Minimal number of calibration trials. Development of telemetry chip to collect data without external cables.
27 CONCLUSION A potential therapeutic tool. BCI System is nominated for the European ICT Grand Prize. Potentially high impact technology.
28 REFERENCES Brain- computer interface # Invasive-BCIs. Berlin Brain- Computer Interface Brain Computer Interface,
29 Thank you
30
Brain Computer Interfaces for Full Body Movement and Embodiment. Intelligent Robotics Seminar Kai Brusch
Brain Computer Interfaces for Full Body Movement and Embodiment Intelligent Robotics Seminar 21.11.2016 Kai Brusch 1 Brain Computer Interfaces for Full Body Movement and Embodiment Intelligent Robotics
More informationMotor Imagery based Brain Computer Interface (BCI) using Artificial Neural Network Classifiers
Motor Imagery based Brain Computer Interface (BCI) using Artificial Neural Network Classifiers Maitreyee Wairagkar Brain Embodiment Lab, School of Systems Engineering, University of Reading, Reading, U.K.
More informationNon Invasive Brain Computer Interface for Movement Control
Non Invasive Brain Computer Interface for Movement Control V.Venkatasubramanian 1, R. Karthik Balaji 2 Abstract: - There are alternate methods that ease the movement of wheelchairs such as voice control,
More informationBCI THE NEW CLASS OF BIOENGINEERING
BCI THE NEW CLASS OF BIOENGINEERING By Krupali Bhatvedekar ABSTRACT A brain-computer interface (BCI), which is sometimes called a direct neural interface or a brainmachine interface, is a device that provides
More informationBrain-Machine Interface for Neural Prosthesis:
Brain-Machine Interface for Neural Prosthesis: Nitish V. Thakor, Ph.D. Professor, Biomedical Engineering Joint Appointments: Electrical & Computer Eng, Materials Science & Eng, Mechanical Eng Neuroengineering
More informationVoice Assisting System Using Brain Control Interface
I J C T A, 9(5), 2016, pp. 257-263 International Science Press Voice Assisting System Using Brain Control Interface Adeline Rite Alex 1 and S. Suresh Kumar 2 ABSTRACT This paper discusses the properties
More informationHUMAN COMPUTER INTERACTION
International Journal of Advancements in Research & Technology, Volume 1, Issue3, August-2012 1 HUMAN COMPUTER INTERACTION AkhileshBhagwani per 1st Affiliation (Author), ChitranshSengar per 2nd Affiliation
More informationBRAIN COMPUTER INTERFACE (BCI) RESEARCH CENTER AT SRM UNIVERSITY
BRAIN COMPUTER INTERFACE (BCI) RESEARCH CENTER AT SRM UNIVERSITY INTRODUCTION TO BCI Brain Computer Interfacing has been one of the growing fields of research and development in recent years. An Electroencephalograph
More informationAnalysis of brain waves according to their frequency
Analysis of brain waves according to their frequency Z. Koudelková, M. Strmiska, R. Jašek Abstract The primary purpose of this article is to show and analyse the brain waves, which are activated during
More informationImplementation of Mind Control Robot
Implementation of Mind Control Robot Adeel Butt and Milutin Stanaćević Department of Electrical and Computer Engineering Stony Brook University Stony Brook, New York, USA adeel.butt@stonybrook.edu, milutin.stanacevic@stonybrook.edu
More informationNon-Invasive Brain-Actuated Control of a Mobile Robot
Non-Invasive Brain-Actuated Control of a Mobile Robot Jose del R. Millan, Frederic Renkens, Josep Mourino, Wulfram Gerstner 5/3/06 Josh Storz CSE 599E BCI Introduction (paper perspective) BCIs BCI = Brain
More informationClassification of Four Class Motor Imagery and Hand Movements for Brain Computer Interface
Classification of Four Class Motor Imagery and Hand Movements for Brain Computer Interface 1 N.Gowri Priya, 2 S.Anu Priya, 3 V.Dhivya, 4 M.D.Ranjitha, 5 P.Sudev 1 Assistant Professor, 2,3,4,5 Students
More informationBrain Computer Interface Control of a Virtual Robotic System based on SSVEP and EEG Signal
Brain Computer Interface Control of a Virtual Robotic based on SSVEP and EEG Signal By: Fatemeh Akrami Supervisor: Dr. Hamid D. Taghirad October 2017 Contents 1/20 Brain Computer Interface (BCI) A direct
More informationBrain Machine Interface for Wrist Movement Using Robotic Arm
Brain Machine Interface for Wrist Movement Using Robotic Arm Sidhika Varshney *, Bhoomika Gaur *, Omar Farooq*, Yusuf Uzzaman Khan ** * Department of Electronics Engineering, Zakir Hussain College of Engineering
More informationBRAINWAVE RECOGNITION
College of Engineering, Design and Physical Sciences Electronic & Computer Engineering BEng/BSc Project Report BRAINWAVE RECOGNITION Page 1 of 59 Method EEG MEG PET FMRI Time resolution The spatial resolution
More informationNeuroprosthetics *= Hecke. CNS-Seminar 2004 Opener p.1
Neuroprosthetics *= *. Hecke MPI für Dingsbums Göttingen CNS-Seminar 2004 Opener p.1 Overview 1. Introduction CNS-Seminar 2004 Opener p.2 Overview 1. Introduction 2. Existing Neuroprosthetics CNS-Seminar
More informationClassifying the Brain's Motor Activity via Deep Learning
Final Report Classifying the Brain's Motor Activity via Deep Learning Tania Morimoto & Sean Sketch Motivation Over 50 million Americans suffer from mobility or dexterity impairments. Over the past few
More informationBreaking the Wall of Neurological Disorder. How Brain-Waves Can Steer Prosthetics.
Miguel Nicolelis Professor and Co-Director of the Center for Neuroengineering, Department of Neurobiology, Duke University Medical Center, Duke University Medical Center, USA Breaking the Wall of Neurological
More informationBRAIN COMPUTER INTERFACES FOR MEDICAL APPLICATIONS
Bulletin of the Transilvania University of Braşov Vol. 3 (52) - 2010 Series I: Engineering Sciences BRAIN COMPUTER INTERFACES FOR MEDICAL APPLICATIONS C.C. POSTELNICU 1 D. TALABĂ 1 M.I. TOMA 1 Abstract:
More informationDesign and implementation of brain controlled wheelchair
Design and implementation of brain controlled wheelchair R.Alageswaran Senior Lecturer alageswaranr@yahoo. com G.Vijayaraj Student vijay_gtav@yahoo.co. in B.Raja Mukesh Krishna Student funnyraja@gmail.com
More informationEmoto-bot Demonstration Control System
Emoto-bot Demonstration Control System I am building a demonstration control system for VEX robotics that creates a human-machine interface for an assistive or companion robotic device. My control system
More informationMobile robot control based on noninvasive brain-computer interface using hierarchical classifier of imagined motor commands
Mobile robot control based on noninvasive brain-computer interface using hierarchical classifier of imagined motor commands Filipp Gundelakh 1, Lev Stankevich 1, * and Konstantin Sonkin 2 1 Peter the Great
More informationAvailable online at ScienceDirect. Procedia Technology 24 (2016 )
Available online at www.sciencedirect.com ScienceDirect Procedia Technology 24 (2016 ) 1089 1096 International Conference on Emerging Trends in Engineering, Science and Technology (ICETEST - 2015) Robotic
More informationBRAIN CONTROLLED CAR FOR DISABLED USING ARTIFICIAL INTELLIGENCE
BRAIN CONTROLLED CAR FOR DISABLED USING ARTIFICIAL INTELLIGENCE 1. ABSTRACT This paper considers the development of a brain driven car, which would be of great help to the physically disabled people. Since
More informationDesign of Hands-Free System for Device Manipulation
GDMS Sr Engineer Mike DeMichele Design of Hands-Free System for Device Manipulation Current System: Future System: Motion Joystick Requires physical manipulation of input device No physical user input
More informationNon-Invasive EEG Based Wireless Brain Computer Interface for Safety Applications Using Embedded Systems
Non-Invasive EEG Based Wireless Brain Computer Interface for Safety Applications Using Embedded Systems Uma.K.J 1, Mr. C. Santha Kumar 2 II-ME-Embedded System Technologies, KSR Institute for Engineering
More informationOff-line EEG analysis of BCI experiments with MATLAB V1.07a. Copyright g.tec medical engineering GmbH
g.tec medical engineering GmbH Sierningstrasse 14, A-4521 Schiedlberg Austria - Europe Tel.: (43)-7251-22240-0 Fax: (43)-7251-22240-39 office@gtec.at, http://www.gtec.at Off-line EEG analysis of BCI experiments
More informationEE105 Fall 2015 Microelectronic Devices and Circuits Multi-Stage Amplifiers. Prof. Ming C. Wu 511 Sutardja Dai Hall (SDH)
EE105 Fall 2015 Microelectronic Devices and Circuits Multi-Stage Amplifiers Prof. Ming C. Wu wu@eecs.berkeley.edu 511 Sutardja Dai Hall (SDH) Differential & Common Mode Signals Why Differential? Differential
More informationReal Robots Controlled by Brain Signals - A BMI Approach
International Journal of Advanced Intelligence Volume 2, Number 1, pp.25-35, July, 2010. c AIA International Advanced Information Institute Real Robots Controlled by Brain Signals - A BMI Approach Genci
More informationAutomatic Electrical Home Appliance Control and Security for disabled using electroencephalogram based brain-computer interfacing
Automatic Electrical Home Appliance Control and Security for disabled using electroencephalogram based brain-computer interfacing S. Paul, T. Sultana, M. Tahmid Electrical & Electronic Engineering, Electrical
More informationBRAINWAVE CONTROLLED WHEEL CHAIR USING EYE BLINKS
BRAINWAVE CONTROLLED WHEEL CHAIR USING EYE BLINKS Harshavardhana N R 1, Anil G 2, Girish R 3, DharshanT 4, Manjula R Bharamagoudra 5 1,2,3,4,5 School of Electronicsand Communication, REVA University,Bangalore-560064
More informationIMPLEMENTATION OF REAL TIME BRAINWAVE VISUALISATION AND CHARACTERISATION
Journal of Engineering Science and Technology Special Issue on SOMCHE 2014 & RSCE 2014 Conference, January (2015) 50-59 School of Engineering, Taylor s University IMPLEMENTATION OF REAL TIME BRAINWAVE
More informationControlling a Robotic Arm by Brainwaves and Eye Movement
Controlling a Robotic Arm by Brainwaves and Eye Movement Cristian-Cezar Postelnicu 1, Doru Talaba 2, and Madalina-Ioana Toma 1 1,2 Transilvania University of Brasov, Romania, Faculty of Mechanical Engineering,
More informationViability of Controlling Prosthetic Hand Utilizing Electroencephalograph (EEG) Dataset Signal
IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Viability of Controlling Prosthetic Hand Utilizing Electroencephalograph (EEG) Dataset Signal To cite this article: Azizi Miskon
More informationAnalysis and simulation of EEG Brain Signal Data using MATLAB
Chapter 4 Analysis and simulation of EEG Brain Signal Data using MATLAB 4.1 INTRODUCTION Electroencephalogram (EEG) remains a brain signal processing technique that let gaining the appreciative of the
More informationEasyChair Preprint. A Tactile P300 Brain-Computer Interface: Principle and Paradigm
EasyChair Preprint 117 A Tactile P300 Brain-Computer Interface: Principle and Paradigm Aness Belhaouari, Abdelkader Nasreddine Belkacem and Nasreddine Berrached EasyChair preprints are intended for rapid
More informationIntegrating Human and Computer Vision with EEG Toward the Control of a Prosthetic Arm Eugene Lavely, Geoffrey Meltzner, Rick Thompson
Integrating Human and Computer Vision with EEG Toward the Control of a Prosthetic Arm Eugene Lavely, Geoffrey Meltzner, Rick Thompson & Brain-Computer interface for hci and games Brain Interface EEG: In
More informationT TH-Typing on Your TeetH: Tongue-Teeth
T TH-Typing on Your TeetH: Tongue-Teeth Localization for Human-Computer Interface Phuc Nguyen, Nam Bui, Anh Nguyen, Hoang Truong, Abhijit Suresh, Matthew Whitlock, Duy Pham, Thang Dinh, and Tam Vu Mobile
More informationBME 599a Applied Electrophysiology Midterm (Thursday 10/12/00 09:30)
1 BME 599a Applied Electrophysiology Midterm (Thursday 10/12/00 09:30) Time : 45 minutes Name : MARKING PRECEDENT Points : 70 USC ID : Note : When asked for short written answers please pay attention to
More informationDecoding Brainwave Data using Regression
Decoding Brainwave Data using Regression Justin Kilmarx: The University of Tennessee, Knoxville David Saffo: Loyola University Chicago Lucien Ng: The Chinese University of Hong Kong Mentor: Dr. Xiaopeng
More informationBiometric: EEG brainwaves
Biometric: EEG brainwaves Jeovane Honório Alves 1 1 Department of Computer Science Federal University of Parana Curitiba December 5, 2016 Jeovane Honório Alves (UFPR) Biometric: EEG brainwaves Curitiba
More informationModeling, Architectures and Signal Processing for Brain Computer Interfaces
Modeling, Architectures and Signal Processing for Brain Computer Interfaces Jose C. Principe, Ph.D. Distinguished Professor of ECE/BME University of Florida principe@cnel.ufl.edu www.cnel.ufl.edu US versus
More information780. Biomedical signal identification and analysis
780. Biomedical signal identification and analysis Agata Nawrocka 1, Andrzej Kot 2, Marcin Nawrocki 3 1, 2 Department of Process Control, AGH University of Science and Technology, Poland 3 Department of
More informationEE M255, BME M260, NS M206:
EE M255, BME M260, NS M206: NeuroEngineering Lecture Set 6: Neural Recording Prof. Dejan Markovic Agenda Neural Recording EE Model System Components Wireless Tx 6.2 Neural Recording Electrodes sense action
More informationInternational Journal for Research in Applied Science & Engineering Technology (IJRASET) Brain Computer Interface for Paralyzed People
Brain Computer Interface for Paralyzed People Rosemary Mampilly 1, Nicy Jos 2, Neema Rose 3 1,3 Computer Science Department, Calicut University Abstract: This paper presents the Brain Computer Interface
More informationfrom signals to sources asa-lab turnkey solution for ERP research
from signals to sources asa-lab turnkey solution for ERP research asa-lab : turnkey solution for ERP research Psychological research on the basis of event-related potentials is a key source of information
More informationA Brain-Computer Interface Based on Steady State Visual Evoked Potentials for Controlling a Robot
A Brain-Computer Interface Based on Steady State Visual Evoked Potentials for Controlling a Robot Robert Prueckl 1, Christoph Guger 1 1 g.tec, Guger Technologies OEG, Sierningstr. 14, 4521 Schiedlberg,
More informationROBOT APPLICATION OF A BRAIN COMPUTER INTERFACE TO STAUBLI TX40 ROBOTS - EARLY STAGES NICHOLAS WAYTOWICH
World Automation Congress 2010 TSl Press. ROBOT APPLICATION OF A BRAIN COMPUTER INTERFACE TO STAUBLI TX40 ROBOTS - EARLY STAGES NICHOLAS WAYTOWICH Undergraduate Research Assistant, Mechanical Engineering
More informationEYE BLINK CONTROLLED ROBOT USING EEG TECHNOLOGY
EYE BLINK CONTROLLED ROBOT USING EEG TECHNOLOGY 1 ABDUL LATEEF HAROON P.S, 2 U.ERANNA, 3 ULAGANATHAN J., 4 RAYMOND IRUDAYARAJ I. 1,3,4 Assistant Professors, 2 Professor & HOD, Dept. of ECE, BITM-Ballari-583104
More informationMUHAMMAD NAEEM TAHIR ARCHITECTURE AND SYSTEM LEVEL CONCEPT FOR WIRE- LESS BRAIN MACHINE INTERFACE. Master of Science thesis
MUHAMMAD NAEEM TAHIR ARCHITECTURE AND SYSTEM LEVEL CONCEPT FOR WIRE- LESS BRAIN MACHINE INTERFACE Master of Science thesis Examiner: Prof. Leena Ukkonen (Ph.D) and Prof. Lauri Sydänheimo (Ph.D) Examiner
More informationME7752: Mechanics and Control of Robots Lecture 1
ME7752: Mechanics and Control of Robots Lecture 1 Instructor: Manoj Srinivasan Office: E340 Scott Laboratory Email: srinivasan.88@osu.edu ( PDF posted. In the PDF, if there are no links to videos, do a
More informationBrain-Computer Interface for Control and Communication with Smart Mobile Applications
University of Telecommunications and Post Sofia, Bulgaria Brain-Computer Interface for Control and Communication with Smart Mobile Applications Prof. Svetla Radeva, DSc, PhD HUMAN - COMPUTER INTERACTION
More informationMEASURING AND ANALYZING FINE MOTOR SKILLS
MEASURING AND ANALYZING FINE MOTOR SKILLS PART 1: MOTION TRACKING AND EMG OF FINE MOVEMENTS PART 2: HIGH-FIDELITY CAPTURE OF HAND AND FINGER BIOMECHANICS Abstract This white paper discusses an example
More informationAbdulmotaleb El Saddik Associate Professor Dr.-Ing., SMIEEE, P.Eng.
Abdulmotaleb El Saddik Associate Professor Dr.-Ing., SMIEEE, P.Eng. Multimedia Communications Research Laboratory University of Ottawa Ontario Research Network of E-Commerce www.mcrlab.uottawa.ca abed@mcrlab.uottawa.ca
More informationMovement Intention Detection Using Neural Network for Quadriplegic Assistive Machine
Movement Intention Detection Using Neural Network for Quadriplegic Assistive Machine T.A.Izzuddin 1, M.A.Ariffin 2, Z.H.Bohari 3, R.Ghazali 4, M.H.Jali 5 Faculty of Electrical Engineering Universiti Teknikal
More informationBRAIN CONTROLLED CAR FOR DISABLED USING ARTIFICIAL INTELLIGENCE
BRAIN CONTROLLED CAR FOR DISABLED USING ARTIFICIAL INTELLIGENCE Presented by V.DIVYA SRI M.V.LAKSHMI III CSE III CSE EMAIL: vds555@gmail.com EMAIL: morampudi.lakshmi@gmail.com Phone No. 9949422146 Of SHRI
More informationTraining of EEG Signal Intensification for BCI System. Haesung Jeong*, Hyungi Jeong*, Kong Borasy*, Kyu-Sung Kim***, Sangmin Lee**, Jangwoo Kwon*
Training of EEG Signal Intensification for BCI System Haesung Jeong*, Hyungi Jeong*, Kong Borasy*, Kyu-Sung Kim***, Sangmin Lee**, Jangwoo Kwon* Department of Computer Engineering, Inha University, Korea*
More informationI+ I. Eric Eisenstadt, Ph.D. DARPA Defense Sciences Office. Direct Brain-Machine Interface. Science and Technology Symposium April 2004
------~~--------------~---------------- Direct Brain-Machine Interface Eric Eisenstadt, Ph.D. DARPA Defense Sciences Office Science and Technology Symposium 21-22 April 2004 I+ I Defence Research and Recherche
More informationDESIGN AND IMPLEMENTATION OF EMG TRIGGERED - STIMULATOR TO ACTIVATE THE MUSCLE ACTIVITY OF PARALYZED PATIENTS
DESIGN AND IMPLEMENTATION OF EMG TRIGGERED - STIMULATOR TO ACTIVATE THE MUSCLE ACTIVITY OF PARALYZED PATIENTS 1 Ms. Snehal D. Salunkhe, 2 Mrs Shailaja S Patil Department of Electronics & Communication
More informationBrain Computer Interface
Brain Computer Interface Mihika Mor Mody University of Sciemcesnd Technology mihikam13@gmail.com Lavanya Juvvala Mody University of Sciemcesnd Technology jlavanya2009@gmail.com Abstract: Years have gone
More informationDesign of a Bionic Hand Using Non Invasive Interface
Design of a Bionic Hand Using Non Invasive Interface By Evan McNabb Electrical and Biomedical Engineering Design Project (4BI6) Department of Electrical and Computer Engineering McMaster University Hamilton,
More informationBCI for Comparing Eyes Activities Measured from Temporal and Occipital Lobes
BCI for Comparing Eyes Activities Measured from Temporal and Occipital Lobes Sachin Kumar Agrawal, Annushree Bablani and Prakriti Trivedi Abstract Brain computer interface (BCI) is a system which communicates
More informationCOMPEX MOTION - NEW PORTABLE TRANSCUTANEOUS STIMULATOR FOR NEUROPROSTHETIC APPLICATIONS
To appear in the Proceedings of the European Control Conference 2001, Porto, Portugal, September 4-7, 2001 COMPEX MOTION - NEW PORTABLE TRANSCUTANEOUS STIMULATOR FOR NEUROPROSTHETIC APPLICATIONS M.R. Popovic
More informationA Comparison of Signal Processing and Classification Methods for Brain-Computer Interface
A Comparison of Signal Processing and Classification Methods for Brain-Computer Interface by Mark Renfrew Submitted in partial fulfillment of the requirements for the degree of Master of Science Thesis
More informationMindwave Device Wheelchair Control
Mindwave Device Wheelchair Control Priyanka D. Girase 1, M. P. Deshmukh 2 1 ME-II nd (Digital Electronics), S.S.B.T s C.O.E.T. Bambhori, Jalgaon 2 Professor, Electronics and Telecommunication Department,
More informationWhy interest in visual perception?
Raffaella Folgieri Digital Information & Communication Departiment Constancy factors in visual perception 26/11/2010, Gjovik, Norway Why interest in visual perception? to investigate main factors in VR
More informationEVOLUTION OF THE BRAIN COMPUTING INTERFACE (BCI) AND PROPOSED ELECTROENCEPHALOGRAPHY (EEG) SIGNALS BASED AUTHENTICATION MODEL
EVOLUTION OF THE BRAIN COMPUTING INTERFACE (BCI) AND PROPOSED ELECTROENCEPHALOGRAPHY (EEG) SIGNALS BASED AUTHENTICATION MODEL Qaseem Ramzan 1, 2*, Stanislav Shidlovskiy 1 1 National Research Tomsk State
More informationBio-Signal Based Human-Computer Interface for Geometric. Modeling
Bio-Signal Based Human-Computer Interface for Geometric Modeling Lan Wu A Thesis in The Department of Mechanical and Industrial Engineering Presented in Partial Fulfillment of the Requirements for the
More informationUniversity of West Bohemia in Pilsen Department of Computer Science and Engineering Univerzitní Pilsen Czech Republic
University of West Bohemia in Pilsen Department of Computer Science and Engineering Univerzitní 8 30614 Pilsen Czech Republic Methods for Signal Classification and their Application to the Design of Brain-Computer
More informationA SEMINAR REPORT ON BRAIN CONTROLLED CAR USING ARTIFICIAL INTELLIGENCE
A SEMINAR REPORT ON BRAIN CONTROLLED CAR USING ARTIFICIAL INTELLIGENCE Submitted to Jawaharlal Nehru Technological University for the partial Fulfillments of the requirement for the Award of the degree
More informationELECTROENCEPHALOGRAPHY AND MEMS BASED HYBRID MOTION CONTROL SYSTEM
ELECTROENCEPHALOGRAPHY AND MEMS BASED HYBRID MOTION CONTROL SYSTEM 1 SHARMILA.P, 2 SHAKTHI PRASSADH.S, 3 ADITHIYA.V, 4 ARAVIND.V 1,2,3,4 Department of Electrical and Electronics Engineering, Sri Sairam
More informationAvailable online at ScienceDirect. Procedia Computer Science 105 (2017 )
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 105 (2017 ) 138 143 2016 IEEE International Symposium on Robotics and Intelligent Sensors, IRIS 2016, 17-20 December 2016,
More informationAn Exploration of the Utilization of Electroencephalography and Neural Nets to Control Robots
An Exploration of the Utilization of Electroencephalography and Neural Nets to Control Robots Dan Szafir 1 and Robert Signorile 2 Computer Science Department Boston College Chestnut Hill, MA USA szafird@bc.edu
More informationSPARK OF LIFE. How does your body react to electricity?
SPARK OF LIFE How does your body react to electricity? WHO WAS FRANKENSTEIN? What do you know about Victor Frankenstein and his creature? Victor Frankenstein and the monster he created were invented 200
More informationPortable EEG Signal Acquisition System
Noor Ashraaf Noorazman, Nor Hidayati Aziz Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Melaka, Malaysia Email: noor.ashraaf@gmail.com, hidayati.aziz@mmu.edu.my
More informationBrain-computer Interface Based on Steady-state Visual Evoked Potentials
Brain-computer Interface Based on Steady-state Visual Evoked Potentials K. Friganović*, M. Medved* and M. Cifrek* * University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia
More informationReal-time triggering of a Functional Electrical Stimulation device using Electroencephalography
Real-time triggering of a Functional Electrical Stimulation device using Electroencephalography Gorish Aggarwal Abstract A Brain Computer Interface (BCI) is a direct communication link between the brain
More informationTSBB15 Computer Vision
TSBB15 Computer Vision Lecture 9 Biological Vision!1 Two parts 1. Systems perspective 2. Visual perception!2 Two parts 1. Systems perspective Based on Michael Land s and Dan-Eric Nilsson s work 2. Visual
More informationBRAIN MACHINE INTERFACE SYSTEM FOR PERSON WITH QUADRIPLEGIA DISEASE
BRAIN MACHINE INTERFACE SYSTEM FOR PERSON WITH QUADRIPLEGIA DISEASE Sameer Taksande Department of Computer Science G.H. Raisoni College of Engineering Nagpur University, Nagpur, Maharashtra India D.V.
More informationFundamentals of Computer Vision
Fundamentals of Computer Vision COMP 558 Course notes for Prof. Siddiqi's class. taken by Ruslana Makovetsky (Winter 2012) What is computer vision?! Broadly speaking, it has to do with making a computer
More informationAn Overview of Brain-Computer Interface Technology Applications in Robotics
An Overview of Brain-Computer Interface Technology Applications in Robotics Janet F. Reyes Florida International University Department of Mechanical and Materials Engineering 10555 West Flagler Street
More informationBi-directional brain computer interface with brain implantable Arm-based SoCs Joseph Fernando Principal architect
Bi-directional brain computer interface with brain implantable Arm-based SoCs Joseph Fernando Principal architect Arm Tech Symposia 2017 Agenda The needs Improve quality of life through Electroceuticals
More informationNeural Network Classifier and Filtering for EEG Detection in Brain-Computer Interface Device
Neural Network Classifier and Filtering for EEG Detection in Brain-Computer Interface Device Mr. CHOI NANG SO Email: cnso@excite.com Prof. J GODFREY LUCAS Email: jglucas@optusnet.com.au SCHOOL OF MECHATRONICS,
More informationSignal Processing for Automated EEG Quality Assessment
Signal Processing for Automated EEG Quality Assessment by Sherif Haggag Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy Deakin University February 2016 To My Family
More informationEEG frequency tagging to study active and passive rhythmic movements
EEG frequency tagging to study active and passive rhythmic movements Dissertation presented by Aurore NIEUWENHUYS for obtaining the Master s degree in Biomedical Engineering Supervisor(s) André MOURAUX,
More informationClassification of EEG Signal for Imagined Left and Right Hand Movement for Brain Computer Interface Applications
Classification of EEG Signal for Imagined Left and Right Hand Movement for Brain Computer Interface Applications Indu Dokare 1, Naveeta Kant 2 1 Department Of Electronics and Telecommunication Engineering,
More informationVirtual Reality in Neuro- Rehabilitation and Beyond
Virtual Reality in Neuro- Rehabilitation and Beyond Amanda Carr, OTRL, CBIS Origami Brain Injury Rehabilitation Center Director of Rehabilitation Amanda.Carr@origamirehab.org Objectives Define virtual
More informationMSMS Software for VR Simulations of Neural Prostheses and Patient Training and Rehabilitation
MSMS Software for VR Simulations of Neural Prostheses and Patient Training and Rehabilitation Rahman Davoodi and Gerald E. Loeb Department of Biomedical Engineering, University of Southern California Abstract.
More informationBiomedical Sensor Systems Laboratory. Institute for Neural Engineering Graz University of Technology
Biomedical Sensor Systems Laboratory Institute for Neural Engineering Graz University of Technology 2017 Bioinstrumentation Measurement of physiological variables Invasive or non-invasive Minimize disturbance
More information1. INTRODUCTION: 2. EOG: system, handicapped people, wheelchair.
ABSTRACT This paper presents a new method to control and guide mobile robots. In this case, to send different commands we have used electrooculography (EOG) techniques, so that, control is made by means
More informationBrain Computer Interfaces Lecture 2: Current State of the Art in BCIs
Brain Computer Interfaces Lecture 2: Current State of the Art in BCIs Lars Schwabe Adaptive and Regenerative Software Systems http://ars.informatik.uni-rostock.de 2011 UNIVERSITÄT ROSTOCK FACULTY OF COMPUTER
More informationWavelet Based Classification of Finger Movements Using EEG Signals
903 Wavelet Based Classification of Finger Movements Using EEG R. Shantha Selva Kumari, 2 P. Induja Senior Professor & Head, Department of ECE, Mepco Schlenk Engineering College Sivakasi, Tamilnadu, India
More informationLauri Parkkonen. Jyväskylä Summer School 2013
Jyväskylä Summer School 2013 COM7: Electromagnetic Signals from The Human Brain: Fundamentals and Analysis (TIEJ659) Pre-processing of MEG data Lauri Parkkonen Dept. Biomedical Engineering and Computational
More informationINTELLIGENT WHEELCHAIRS
INTELLIGENT WHEELCHAIRS Patrick Carrington INTELLWHEELS: MODULAR DEVELOPMENT PLATFORM FOR INTELLIGENT WHEELCHAIRS Rodrigo Braga, Marcelo Petry, Luis Reis, António Moreira INTRODUCTION IntellWheels is a
More informationDesign and Implementation of Brain Computer Interface Based Robot Motion Control
Design and Implementation of Brain Computer Interface Based Robot Motion Control Devashree Tripathy 1,2 and Jagdish Lal Raheja 1 1 Advanced Electronics Systems Group, CSIR - Central Electronics Engineering
More informationKnowledge Enhanced Electronic Logic for Embedded Intelligence
The Problem Knowledge Enhanced Electronic Logic for Embedded Intelligence Systems (military, network, security, medical, transportation ) are getting more and more complex. In future systems, assets will
More informationDecoding EEG Waves for Visual Attention to Faces and Scenes
Decoding EEG Waves for Visual Attention to Faces and Scenes Taylor Berger and Chen Yi Yao Mentors: Xiaopeng Zhao, Soheil Borhani Brain Computer Interface Applications: Medical Devices (e.g. Prosthetics,
More informationBIONIC EYE. Author 2 : Author 1: P.Jagadish Babu. K.Dinakar. (2 nd B.Tech,ECE)
BIONIC EYE Author 1: K.Dinakar (2 nd B.Tech,ECE) dinakar.zt@gmail.com Author 2 : P.Jagadish Babu (2 nd B.Tech,ECE) jaggu.strome@gmail.com ADITYA ENGINEERING COLLEGE, SURAMPALEM ABSTRACT Technology has
More informationDenoising EEG Signal Using Wavelet Transform
Denoising EEG Signal Using Wavelet Transform R. PRINCY, P. THAMARAI, B.KARTHIK Abstract Electroencephalogram (EEG) signal is the recording of spontaneous electrical activity of the brain over a small interval
More informationBooklet of teaching units
International Master Program in Mechatronic Systems for Rehabilitation Booklet of teaching units Third semester (M2 S1) Master Sciences de l Ingénieur Université Pierre et Marie Curie Paris 6 Boite 164,
More information