Project

# Title Team Members TA Documents Sponsor
29 Neuro-transmitter (EEG) Interface System
 Alessandro Lostumbo
John Burton
Kevin Armstrong
 design_document0.pdf
final_paper0.pdf
other0.ino
presentation0.presentation
proposal0.pdf
We are developing a Neuro-transmitter(EEG) Interface System that contains 12 electrodes monitoring the brain's activity. Our project takes inputs from the electrodes and amplifies the signal to see changes in brain activity, filters out the unwanted noise from other conductive tissues such as facial muscle, and then converts the analog data to digital data that is stored onto an SD card. That data would then be logged and time-stamped for future analysis. We will also have hardware with LED lights that displays if each of the sensors used are properly applied to the skin so as to give an impedance of 20k or less The project would be a modular design for mobile use that would provide data for research in neuroscience.
Since this device will be used for research on humans, it is imperative that a degree of safety can be provided at all times to minimize the possible concerns that might occur.

Cypress Robot Kit

Todd Nguyen, Byung Joo Park, Alvin Wu

Cypress Robot Kit

Featured Project

Cypress is looking to develop a robotic kit with the purpose of interesting the maker community in the PSOC and its potential. We will be developing a shield that will attach to a PSoC board that will interface to our motors and sensors. To make the shield, we will design our own PCB that will mount on the PSoC directly. The end product will be a remote controlled rover-like robot (through bluetooth) with sensors to achieve line following and obstacle avoidance.

The modules that we will implement:

- Motor Control: H-bridge and PWM control

- Bluetooth Control: Serial communication with PSoC BLE Module, and phone application

- Line Following System: IR sensors

- Obstacle Avoidance System: Ultrasonic sensor

Cypress wishes to use as many off-the-shelf products as possible in order to achieve a “kit-able” design for hobbyists. Building the robot will be a plug-and-play experience so that users can focus on exploring the capabilities of the PSoC.

Our robot will offer three modes which can be toggled through the app: a line following mode, an obstacle-avoiding mode, and a manual-control mode. In the manual-control mode, one will be able to control the motors with the app. In autonomous modes, the robot will be controlled based off of the input from the sensors.