Use pygame and pykinect library to collect data, and create an interative interface.
Use cosDistance to extract entries for each of 5 phases with pre-collected benchmark entry
Use ML skills to train the model. To train use 'extractDataFromNoisyDataset/cosDisMLModels.py'.
To test use extractDataFromNoisyDataset/user_test/extractUserData.py.
The file structure is a bit messy. To have a detailed view of this project please have a look on our report