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Mobile Android app for data collection in the wild: sensor measurements and self-reported labels describing the user's behavioral context.

Home Page: http://extrasensory.ucsd.edu/ExtraSensoryApp

License: MIT License

Java 79.81% C 3.15% Python 16.99% Shell 0.05%
behavioral-context-recognition context-awareness activity-tracking mobile-sensing ubiquitous-computing data-collection in-the-wild

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extrasensoryandroid's Issues

Possibility of a heroku ESS implementation?

Hello All,
Thank you for making this great project open-source. There are a great many similar projects (AWARE, WISDM, Passive Data Kit), but this one seems to be the most suitable and well thought out for the academic community. I am considering forking this repo and creating a version of ESS that can be easily spun up as a Heroku instance. Please let me know if you would like to coordinate or if you have any advice or see any major challenges associated with such a project.

Cheers!
Scott Cambo

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