PIELab/stress-predictor
The goal of the code in this repo is to create a prediction of user stress using data from the autosense sensor suite.
A framework designed to aid in the implementation of PECS-style agent (based on the work of Bernd Schmidt et al.). This framework is designed to be theory-independent, extensible, and very easy to use. Please see the readme file and wiki page for documentation.
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The goal of the code in this repo is to create a prediction of user stress using data from the autosense sensor suite.
This is the code behind the receiving and serving up of face images for avatars to be run on a data server.
:bar_chart: data visualization scripts for behavioral interventions
This is a simple server set up setup for a avatar display webpages based on data from [the PIE-lab avatar wallpaper](https://github.com/7yl4r/AvatarWallpaper).