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https://github.com/truedat101/alexa-howami-skill
Machine Learning, Computer Vision, and Face Analytics example of using the Eyeris EmoVu Web API with an Alexa skill
https://github.com/truedat101/alexa-howami-skill
Last synced: 20 days ago
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Machine Learning, Computer Vision, and Face Analytics example of using the Eyeris EmoVu Web API with an Alexa skill
- Host: GitHub
- URL: https://github.com/truedat101/alexa-howami-skill
- Owner: truedat101
- License: other
- Created: 2017-01-04T08:36:55.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2017-01-09T05:44:58.000Z (about 8 years ago)
- Last Synced: 2024-12-16T02:27:15.894Z (26 days ago)
- Language: JavaScript
- Size: 404 KB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 9
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Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# Overview
An example Alexa Skill using Eyeris EmoVu http://emovu.com/e/ face analytics. Ask it "Alexa How Am I?" and Alexa will return an answer describing your emotion. This skill assumes you have an EmoVu HowMe App running on your host system
# Concept
Below is a diagram of the demo concept.
# Dependencies
- An ol' version of Node.js v0.10.x is preferred, as the v4l code won't compile with newer stuff
- Access to the EmoVu Web API (see: http://emovu.com/docs/html/web_api.htm), contact [email protected] with subject: Dashboard Access Request
- A Web Cam (supporting Linux UVC, see: http://www.ideasonboard.org/uvc/ )
- A Linux host system with v4l (ARMv7, ARMv8, or IA64)
- An AWS account
# Setup & "Build"
To setup and deploy your Alexa How Am I Skill, take a look in the alexa-howami-skil-js readme.
To capture data, take a look in the How Am I Capture App.
# Use
Once everything is deployed, you can just ask Alexa, "How Am I?"
Some tips on using the EmoVu Web API using curl: https://gist.github.com/truedat101/a5796c6a2ad834cc23d6fa762513c489