CASE FILE // EMBEDDED / HARDWARE

EMG INTERFACE CONTROLLER.

ROLE // EMBEDDED SYSTEMS DEVELOPER & HARDWARE DESIGNERTIMELINE // ACADEMIC PROJECTSTATUS // COMPLETED
EMG INTERFACE CONTROLLER cover

EXECUTIVE SUMMARY

Real-time electromyography signal processing and visualization on the ESP32-S3: 500 Hz acquisition through a multi-stage DSP pipeline, streamed over UART to a Python GUI, with a game-controller bridge and custom PCB + enclosure.

SYSTEM HIGHLIGHTS

  • 500 Hz EMG sampling on the ESP32-S3 (XIAO), EMG Candy analog front-end
  • Adaptive threshold calibration per user and muscle group
  • Real-time Python GUI (pyserial + matplotlib) and Arduino Serial Plotter support
  • pynput game bridge: muscle activations drive game input (Roblox tested)
  • Custom KiCad PCB and Fusion 360 3D-printed enclosure

CORE ARCHITECTURE

  • Electrodes → EMG Candy front-end (0–3.3V pre-amped) → ESP32-S3 ADC
  • On-device DSP: rectification, 20-sample RMS window, adaptive thresholding
  • Clean envelope emitted over UART @ 115200 to PC consumers
Embedded EMG Signal Processing Pipeline
SYS_UPLINK // DOWNLOAD