Kandidatarbete_TIFX04-21-08

Code written for Bachelor thesis TIFX04-21-08 at the Chalmers University of Technology spring 2021

All the code written during the work with our Bachelor thesis.

Written by Øyvind:

fit.py: Functions used in converting and extracting and interpolating wanted data from raw watch-files into csv-files
drive.py: Downloading watch-files from Google Drive, calls functions from fit.py and uploads created csv-files to Google Drive
driveDel.py: Deletes all previously created csv-files from watch-files from Google Drive
labelMaker.py: Labels the datarows for ML
trainingDistribution.py: plots a histogram over trainingimpulse
avgParamLabel.py: gets the average length, calories and trimp for all sessions in each label-class both indiviually and across individuals
labelComparator.py: compares the labels between the 3 methods of labeling

Written by Nils:

behandling-o-modifiering.py: Calculates paramters for each session for ML for of every participants and fills in gaps in the data

Written by Maja and Elias:

ML_models.py: Does the ML with the labeled data and makes accuracy plots and tables