Electrical and Computer Engineering Team14: BMW Brainwave Manipulated Wagon Midway Design Review.

Electrical and Computer Engineering

Team14: BMW

Brainwave Manipulated Wagon

Midway Design Review

2Electrical and Computer Engineering

Team 14 Members

Zijian ChenCSE

Tiffany JaoCSE

Man QinEE

Xueling ZhaoEE

Faculty Advisor: Qiangfei Xia


Outline

Review System Requirement

Block Diagram

Individual Responsibility

MDR Demo

CDR Schedule


Review: Problem Statement

People with physical disability is relatively dependent on others

•Limited strength to control wheelchair

Solution: BMWDemonstrates brainwave (EEG) control using robotic car


Outline

Review

System Requirement Block Diagram


MDR Demo

CDR Schedule


What is BMW?

A brainwave controlled robotic car!


System Requirement

Computer application• GUI

• Database

Compatible with different user• training system

Remote Car Controls:• move forward, speed up, stop, and etc.


Outline

Review

System Requirement

Block Diagram Individual Responsibility

MDR Demo

CDR Schedule


Block Diagram

ComputerArduino/

C# Application

USB serial WriteMySQL

DatabaseXBEE:TX

Signal Processing

Command Algorithm

User Interface

XBEE: RX

ArduinoMotor

Power Supply

Neuroskyheadset

Bluetooth v3.0

ThinkGear Packet

Robotic Car

TX Arduino Module

Man Qin

Zijian Chen

Xueling Zhao

Tiffany Jao


Block Diagram

ComputerArduino/

C# Application

USB serial WriteMySQL

DatabaseXBEE:TX

Data Analyze

Command Algorithm

User Interface

XBEE: RX

ArduinoMotor

Power Supply

Bluetooth v3.0

ThinkGear Packet

Robotic Car

TX Arduino Module

Man Qin

Zijian Chen

Xueling Zhao

Tiffany Jao

Neuroskyheadset


Outline

Review

System Requirement

Block Diagram


MDR Demo

CDR Schedule


Data Retrieval: Neurosky Headset

Neurosky Headset Laptop

Bluetooth v3.0

Thinkgear.dill

• Poor Signal

• Concentration/

Meditation

• Alpha/Beta/Theta

Power

• Raw Data

Retrieve attention level and corresponding raw EEG data

Save .txt file for further analysis


Graphical User Interface

Development language: C#

Warning message

Stimuli


Graphical User Interface: State Diagram


Command Algorithm

High Attention

List

Sorting

Calculate Classify Point

Attention Level

Low Attention

Concentrated Not Concentrated

Two consecutive low attention level

Input point > 90 % * classify point


Data Collection and Analysis

Why?

• Multiple Commands

• Achieve more reasonable algorithm


Data Collection and Analysis: Assumption

Different kinds of concentration:

• Increased memory – High Theta (3.5 – 6.7 Hz)

• Increased focus and awareness – High Alpha (11-14Hz)

• Increased conscious thinking – High Beta (14-30 Hz)

"Brain Wave States & How To Access Them.” Brainwaves Frequencies Change States of Consciousness. 1 Jan. 2005. Web.

22 Nov. 2014.


Data Analysis: Graph

*data is provided by the headset


Data Analysis: Challenges

No standard experiment is defined during data acquisition

Power spectrum is less stable than attention level

No way to know the time delay(FFT)

Power Spectrum are provided once per second (FFT)


FFT

Replace the attention level with other

parameters

Corresponding alpha wave and attention level

comparison

Matlab – perform FFT• C# will replace Matlab for FFT

Provide a platform for further experiment


FFT Result: Alpha Spectrum vs Attention Level


Outline

Review

System Requirement

Block Diagram

Individual Responsibility• Software Training System

• Research

MDR Demo CDR Schedule


Proposed MDR Deliverables

Demonstration of functioning algorithm• Controlling LED on/off • Stable result

Demonstration of graphical user interface• User determine control time• Display attention level


Outline

Review

System Requirement

Block Diagram

Individual Responsibility• Software Training System

• Research

MDR Demo

CDR Schedule


Proposed CDR Deliverables

Remotely control robotic car

Improved Command Algorithm

Utilize FFT result and classifier• Try to replace attention level

More user-friendly training interface• Graph• Database for training interface


Schedule: Ghatt Chart　 11/24/201

411/30/201

412/7/201

412/14/201

412/21/201

412/28/201

41/4/2015

1/11/2015

1/18/2015

1/25/2015

2/1/2015 2/8/20152/15/201

52/22/201

5MDR draft report (All) 　　　　　　　　　　　　　　MDR final report (All) 　　　　　　　　　　　　　　XBEE TX/RX 　　　　　　　　　　　　　　Robotic Car 　　　　　　　　　　　　　　integration of robotic car and TX/RX 　　　　　　　　　　　　　　

integration of RX and GUI (Tiffany+Man) 　　　　　　　　　　　　　　

define experiment method (All) 　　　　　　　　　　　　　　

FFT in c# 　　　　　　　　　　　　　　(Beysian) Classifier 　　　　　　　　　　　　　　Integration of FFT & Beysian with Training interface (Xueling+Tiffany+Zijian)

　　　　　　　　　　　　　　

Peforming Experiment with alrogithm (Xueling+Tiffany+Zijian)

　　　　　　　　　　　　　　

Database 　　　　　　　　　　　　　　GUI improvement 　　　　　　　　　　　　　　


Thank you

Any Question?


PDR Feedback

Why not use an embedded solution?

We decided to build C# application instead of embedded solution• Need to experiment to find a usable stimuli• Easy to set up an experiment interface with C#

application


Previous Ver.


Naïve Bayes Classifier

Probabilistic classifier based on applying Bayes’ theorem.

Bayes Theorem:

Advantage :• Better performances when the amount of input is large

• Easy to implement and requires O(n) run time.

• A way to determine alpha and beta relationship with attention level


How To Use Naïve Bayes Classifier

P (High Attention) = 40 /60 P (Low Attention) = 20 / 60

Now , we have a new input X

P (X | High Attention)=1/ 40

P (X | Low Attention) 3 /30

Electrical and Computer Engineering Team14: BMW Brainwave Manipulated Wagon Midway Design Review.

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