https://github.com/ChristopherRogers1991/mycroft-face-wake

Trigger Mycroft without the use of a wake word.
https://github.com/ChristopherRogers1991/mycroft-face-wake

Last synced: 9 days ago
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Trigger Mycroft without the use of a wake word.

• Host: GitHub
• URL: https://github.com/ChristopherRogers1991/mycroft-face-wake
• Owner: ChristopherRogers1991
• License: apache-2.0
• Created: 2018-02-02T04:51:35.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-02-10T07:47:31.000Z (almost 7 years ago)
• Last Synced: 2024-08-09T22:03:20.321Z (3 months ago)
• Language: Python
• Size: 161 KB
• Stars: 16
• Watchers: 3
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# mycroft-face-wake

Trigger Mycroft without the use of a wake-word.

## Simple Demonstration

Short demo: https://www.youtube.com/watch?v=H9P5TRo8nQs&feature=youtu.be

Longer explanation and demo: https://www.youtube.com/watch?v=ytKUTBfjnQI

## Description and Motivation

This is a working prototype. It offers no configuration, must be run on the same host

as [mycroft-core](https://github.com/MycroftAI/mycroft-core), and all STT is handled

by Google's API (via the [SpeechRecognition library](https://pypi.python.org/pypi/SpeechRecognition/)).

It does not replace the wake-word functionality - they can both used at the same time.

I feel that this may offer a more natural way to interact with a voice assistant. Wake words are great,

but often when I talk to people, I just make eye-contact and begin talking. This emulates that type of

interaction (though again, it does not replace the wake-word functionality).

~~This runs quite nicely on my desktop and laptop, but a Raspberry Pi is not quite powerful enough to handle

it effectively (in my brief test, it took roughly 4 seconds to detect a face on the Pi, where it happens

virtually instantanesouly on a desktop/laptop). Note that there is also some extra work to get this running

on a Pi - it will not work as-is. I may add support at a later date, however, given the performance, it

is not a priority.~~

**Update:** This can work on a pi! See below.

## Usage (Tested on Ubuntu 17.10 - see below for Raspbery Pi Support)

1) `git clone https://github.com/ChristopherRogers1991/mycroft-face-wake.git`

2) `cd mycroft-face-wake && pip install -r requirements.txt && pip install .`

3) `python main.py`

## Raspberry Pi Support

Demo Video: https://youtu.be/RhQqz_Yy9Fk

This assumes you are running Raspbian on a Raspberry Pi 3.

1) `sudo apt-get install python-opencv cmake`

2) `virtualenv -p python2 --system-site-packages ~/.virtualenvs/mycroft-face-wake`

3) `source ~/.virtualenvs/mycroft-face-wake/bin/activate`

4) `pip install dlib`

5) `git clone https://github.com/ChristopherRogers1991/mycroft-face-wake.git`

6) `cd mycroft-face-wake && pip install -r requirements.txt && pip install .`

7) `python main.py`

Note that this is using the python-opencv package from the repos, which only seems to work with

python2. If you're ambitious, you could probabaly compile it yourself, and get it to work with

python3.