https://github.com/yuesha-yc/being-doomfist

Controlling your Overwatch character with electromyography sensors (EMG).
https://github.com/yuesha-yc/being-doomfist

emg emg-signal gaming gd32v hardware human-computer-interaction microcontroller myoware overwatch python rath-hal risc-v

Last synced: 10 months ago
JSON representation

Controlling your Overwatch character with electromyography sensors (EMG).

• Host: GitHub
• URL: https://github.com/yuesha-yc/being-doomfist
• Owner: yuesha-yc
• License: gpl-3.0
• Created: 2021-04-17T15:27:25.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2021-04-18T18:54:41.000Z (about 5 years ago)
• Last Synced: 2025-04-12T10:13:22.067Z (about 1 year ago)
• Topics: emg, emg-signal, gaming, gd32v, hardware, human-computer-interaction, microcontroller, myoware, overwatch, python, rath-hal, risc-v
• Language: C++
• Homepage:
• Size: 3.09 MB
• Stars: 7
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
![](coverv2.png)

# Being Doomfist is better than playing Doomfist

Controlling the Overwatch character with electromyography sensors (EMG).

This is a project participating [CalHacks - Hello:World](https://helloworld.calhacks.io/)

View our progress and gallery at [Devpost](https://devpost.com/software/being-doomfist-is-better-than-playing-doomfist)

![](cover.jpg)

## Brief Explain

We use the [Myoware Muscle Sensor](https://www.sparkfun.com/products/13723) to read the electrical signals from three muscle groups. The analog voltage value is then captured with the Tequila Nano controller board. Then, the 14-bit analog values are send to the USART port alone with the state of a push button.

On the PC side, we use Python to read the data received from the USART port, and then apply a threshold to determine whether a certain action is activated. If the signal is above threshold, we will use `win32api` and `windll` to simulate keyboard and mouse events. These events will be registered by Overwatch, thus achieve the successful control of the Doomfist character.

## Credits (names in alphabetical order)

[Haocheng Yang](https://github.com/bill-the-sci-guy): Hardware implementation

[Yichen Wang](https://github.com/yuesha-yc): Software implementation

[Yifei Li](https://github.com/LiYifei1218): Software implementation

[-T.K.-](https://github.com/T-K-233): Hardware & software implementation