ECE 477 Final Presentation Team 2 Fall 2012

Outline

Project overviewBlock diagramDesign challengesIndividual contributionsProject demonstrationQuestions / discussion

Project Overview The proposed project is a mobile brain-computer

interface Computer applications will be presented to the user on a head

mounted display The user will navigate the device though eye gestures detected by an

electrooculogram The user will be able to select different application by increasing their

level of concentration measured by a NeuroSky Mindwave EEG Motivation behind device development

Develop a new and unique mobile computing platform Develop a mobile computing platform that is operable by both the

physically disabled and non-physically disabled Design a project that appealed to the professional aspirations of each

team member

Block Diagram

Design Challenges Making the system completely mobile

All components were chosen to be with size and power consumption in consideration

Acquisition of bio-potential signals EOG designed in modular form, consumer grade EEG

Software optimizations for smaller processor Multi-threading, compiler optimizations

Converting bio-potential signals into usable information

K-nearest neighbor algorithm, EEG selection algorithm

Individual Contributions

Team Leader: Matt WaldersenMember 2: Taylor StrzeleckiMember 3: Rick SchumanMember 4: Krishna Jhajaria

Team Leader: Matt Waldersen

Designed all EOG circuitry Developing a selection algorithm to classify EOG

signals Conceived the preliminary project idea and its

subsystems Prototyped preliminary device enclosure Delegated various roles, responsibilities and tasks to

the team Aided in troubleshooting various hardware issues

Member 2: Taylor Strzelecki Designed the final schematic for the main board,

including in-system programmer and reset circuit Designed and laid out both the EOG and main PCBs Soldered all components on EOG boards and main

board Designed and tested UART microcontroller code that

connected to NueroSky EEG, decoded data packets, and determined when a user selection has occured

Constructed final helmet enclosure Helped with hardware debugging and

troubleshooting

Member 3: Rick Schuman Software Design and

Implementation Main GUI program Loading OpenCV libraries Loading Linux OS Kernel Configuration

Design Constraint

Software Design Narrative

Microcontroller Code Main Program Loop SPI Code Environment/Register

Setup ADC Setup and Driver

Beagle-Micro Testing/Debugging

Royale Design Showcase Video

Member 4: Krishna Jhajaria

Project Proposal & PSSCs Website Design Theory of Operation and Hardware Design Narrative

plus Preliminary Schematic Drawing Homework Microcontroller Programming for SPI Environmental & Ethical Analysis Homework Product Manual, Final report, Senior Design Report

Project-Specific Success Criteria Status

1) An ability to encode/decode data packets from a NeuroSky EEG. (Complete)

2) An ability for a user to select applications based on signals from a NeuroSky EEG. (Complete)

3) An ability for a user to navigate between different applications on a display using EOG signals. (Incomplete)

4) An ability for the system to interactively train the user to effectively operate the device. (Complete)

5) An ability to display a live video stream from an external camera module, and integrate applications into the video system. (Complete)

PSSC Demonstration Video

http://www.youtube.com/watch?v=i1KwxPZdI8A&feature=plcp

Questions