https://github.com/flavio-fernandes/static-hid

Circuit Python based capacitive touch trigger for static keyboard strings
https://github.com/flavio-fernandes/static-hid

Last synced: 4 days ago
JSON representation

Circuit Python based capacitive touch trigger for static keyboard strings

• Host: GitHub
• URL: https://github.com/flavio-fernandes/static-hid
• Owner: flavio-fernandes
• License: mit
• Created: 2021-05-31T01:58:41.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-06-03T20:56:28.000Z (over 3 years ago)
• Last Synced: 2024-12-26T19:13:54.254Z (8 days ago)
• Language: Python
• Size: 10.7 KB
• Stars: 1
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# static-hid

CircuitPython based capacitive touch trigger for static keyboard strings

This is an easy project for using the

[Adafruit Neo Trinkey](https://www.adafruit.com/product/4870) as

a keyboard to type in static strings based on capacitive touch.

![Neo Trinkey](https://live.staticflickr.com/65535/51215237540_7a21314ab1_b.jpg)

    

In order to get going, do the following:

1) [Install CircuitPython](https://learn.adafruit.com/adafruit-neo-trinkey/circuitpython#circuitpython-quickstart-3087052-2)

on the device.

2) Create a file called secrets.py that contains the strings you want to be typed when you touch the sensors.

Use [secrets.py.sample](https://github.com/flavio-fernandes/static-hid/blob/main/secrets.py.sample) as a reference.

3) Copy **code.py**, **secrets.py** and the **lib** directory to the mounted */Volumes/CIRCUITPY*

folder.

    

Check out [this page](https://learn.adafruit.com/neo-trinkey-case) for 3d printing a case for the Neo Trinkey.

    

Lastly, use [this guide](https://learn.adafruit.com/adafruit-neo-trinkey/capacitive-touch-hid) to learn all you need to know about this little gizmo.