Evaluation of underfloor accelerometers through fingerprinting for indoor localization

What the code does
The execution of the main code performs the following:
1. generation of sensor maps through their absolute coordinates;
2. noise reduction on the raw data according to the average of the stress the accelerometers are subjected at quiet;
3. generation of the fingerprint maps per each data set;
4. generation of the clean ground truth files (deleting coordinates set to zero);
5. computation of the n-dimensional distance between observations at a given time step and the euclidean error between the minimum distance value coordinates and the respective temporally closest ground truth ones;
6. same as in 5 but with intra-user fingerprint maps;
7. same as in 5 but with inter-user fingerprint maps;
8. same as in 5 but with enhanced inter-user fingerprint maps.

To run the code please read the file README.md