 Project overview  Block diagram  Design challenges  Individual contributions  Project demonstration  Questions / discussion.

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Presentation transcript:

 Project overview  Block diagram  Design challenges  Individual contributions  Project demonstration  Questions / discussion

 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

 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

Team Leader: Matt Waldersen Member 2: Taylor Strzelecki Member 3: Rick Schuman Member 4: Krishna Jhajaria

 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

 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

 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

 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

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)

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