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CS 107E - Final Project: EMG Brain Machine Interface

William Pan

Project description

I hope to (1) create a way for the Raspberry Pi to read neural signals from the forearm through electromyography and (2) interface the device with some kind of visual output (LEDs, screen, etc). The final end goal is to create a wristband that reads electrical signals from the muscle when someone closes their hand and opens their hand. As well, I hope to use an accelerometer to detect the rotation of the arm as another way to interact with the device. The output of the device will be a way to interact with a screen i.e. drawing or turning on certain lights. At the end, I hope to learn more about building and designing a device that can be interfaced with humans as well as the electrical engineering aspects of building the device.

Hardware, budget

  • 3x TL072 IC Chip
    • 1x INA106 IC Chip ($13.44)
    • 3x AgCl dry EMG electrodes
    • Alligator clips / wires
    • 2x 9 V batteries
    • 2x 1.0 uF Tant
    • 1x 0.01 uF Ceramic Disc
    • 1x 1.0 uF Ceramic Disc
    • 3x 150 kOhm resistor
    • 2x 1 MOhm resistor
    • 2x 80.6 kOhm resistor
    • 6x 10kOhm resistor
    • 1x 100 kOhm trimmer
    • 1 kOhm resistor
    • 2x 1N4148 Diode
    • 1x breadboard
    • 1x LSM6DS33 3D Accelerometer and Gyro Carrier with Voltage Regulator ($14.95)
    • 2x MCP3008

Tasks, member responsibilities

  • William Pan: building the neural interface device, building the circuit, testing the device, building an interface to control the device

Schedule, midpoint milestones

  • March 12: Finish building EMG wristband
  • March 15: Finish code for reading signals from accelerometer and EMG
  • March 19: Refine signals from device
  • March 22: Have device interface with some output (drawing on screen, showing lights, etc.)
  • March 24: Final Project!

Resources needed, issues