EMG_armband

EMG armband worn as a bracelet, to detect hand movements and orientation via muscle impulses transmitted through your forearm. One will be designing PCBs based on EMG sensors, integrating them with microcontrollers, and subsequently train the system using Machine Learning (ML).

Table of Contents

• About The Project
• Domains Explored
• Project Workflow
• Prerequisites
• Installation
• Usage
• Contributors
• References

Domains Explored

Embedded Systems, IoT, PCB Designing, ML

Project Workflow

• Learn how to initialize ADC and read digital output readings of Analog sensor
• Study ESP_NOW Communication protocol and send message from one ESP to other ESP
• Learn to design Flex PCB
• Study EMG (Electromyography) Sensors and try to integrate it with microcontrollers (ESP32)

Getting Started

These instructions will help you get a copy of the project up and running on your local machine.

Prerequisites

To download and use this code, the minimum requirements are:

• ESP_IDF
• Windows 7 or later (64-bit), Ubuntu 20.04 or later
• Microsoft VS Code or any other IDE

Installation

Clone the project by typing the following command in your Terminal

  git clone https://github.com/purviyeshi/EMG_ArmBand.git

Navigate to the EMG_ArmBand folder

  cd EMG_ArmBand

Usage

Once the requirements are satisfied, you can easily download the project and use it on your machine. After following the above steps , use the following commands to:

To activate the IDF

  get_idf

To build the code

  idf.py build

To flash the code

  idf.py -p (PORT) flash monitor

Contributors

• Purva Yeshi
• Anuj Akotkar

References

ESP-IDF Programming Guide