Comments (7)
Hey Scott.
I am glad you discovered this work and this code and that you are interested in working with it.
I will not be available to heavily maintain the code, so you are free to fork the repo and publish your revised code.
I am not familiar with working with Heroku, so I don't know about any expected challenges :-)
The ESS should provide a web interface with 2 basic HTTP API functions (one to upload sensor data zip file for a timestamp and another to report context-labels for a timestamp), so you just need that interface to remain. I'm guessing it should be simple.
For the backend, it involves saving data files (unless you are interested in real-time context-predictions only) - perhaps you can make the saved files more elegantly collected by the researcher (of course, while maintaining strict security and allowing only authorized people access the data).
Good luck.
Please update!
Thanks,
Yonatan.
from extrasensoryandroid.
also, I think it is convenient to have a core of python code on the server - it made it easier for me to use some code pieces that I already used for my offline experiments: for feature extraction and for implementing the neural network to produce the probability predictions.
The feature extraction python code that I used also assured that the extracted features were consistent with the publicly available sensor-features from the ExtraSensory Dataset (http://extrasensory.ucsd.edu/#download).
So maybe you'd like to (I'm not sure if it's possible) keep the python core and implement the surroundings.
from extrasensoryandroid.
from extrasensoryandroid.
Awesome, thanks for the quick response, Yonatan. We are going to look at it over our (Northwestern University) spring break to see what we are getting ourselves into, but as you said it should be fairly straight forward. Thanks again and great work! :)
from extrasensoryandroid.
That sounds like a good idea. Is this the same code that is in the tutorial IPython Notebook?
from extrasensoryandroid.
from extrasensoryandroid.
Ah right, that makes sense. These must be the files that are in ESA_components/ESS/Classifiers
?
from extrasensoryandroid.
Related Issues (3)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from extrasensoryandroid.