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README.txt
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README.txt
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The following Python scripts are presented alongside the OutFin dataset:
** All scripts are written in Python 3.6.4
===============================================================================
NAME: Reliability.py
PURPOSE: Demonstrates that the smartphones/apps provide consistent measurements
at different points in time.
REQUIRED IMPORTS: - os
- pandas
- scipy
- random
PATH OF REQUIRED DATA: OutFin/Code/temporal_data
===============================================================================
NAME: Validity1.py
PURPOSE: Demonstrates that the smartphones/apps accurately measure what they
are supposed to measure.
REQUIRED IMPORTS: - os
- pandas
- scipy
- random
PATH OF REQUIRED DATA: OutFin/Code/temporal_data
===============================================================================
NAME: Validity2.py
PURPOSE: Visualizes the data collected by the smartphones over randomly
selected RPs.
REQUIRED IMPORTS: - os
- pandas
- sklearn
- matplotlib
- numpy
- random
PATH OF REQUIRED DATA: OutFin/Measurements
===============================================================================
NAME: Descriptive_Statistics.py
PURPOSE: Provides descriptive statistics of the most important variables of the
dataset.
REQUIRED IMPORTS: - os
- pandas
- statistics
- numpy
PATH OF REQUIRED DATA: OutFin/Measurements
===============================================================================
NAME: Calibration.py
PURPOSE: Provides Hard/Soft-iron calibration values for a given phone and day.
REQUIRED IMPORTS: - os
- pandas
PATH OF REQUIRED DATA: OutFin/Calibration
===============================================================================
NAME: Fingerprint_Interpolation.py
PURPOSE: Provides a demonstration of how OutFin can be used for fingerprint
interpolation.
REQUIRED IMPORTS: - os
- pandas
- numpy
- scipy
- matplotlib
PATH OF REQUIRED DATA: OutFin/Measurements and OutFin/Coordinates
===============================================================================
NAME: Feature_Extraction.py
PURPOSE: Provides a demonstration of how OutFin can be used for feature
extraction.
REQUIRED IMPORTS: - os
- pandas
- numpy
- keras
- matplotlib
- sklearn
- random
PATH OF REQUIRED DATA: OutFin/Measurements
===============================================================================
NAME: Performance_Evaluation.py
PURPOSE: Provides a demonstration of how OutFin can be used for performance
evaluation.
REQUIRED IMPORTS: - os
- pandas
- numpy
- math
- sklearn
PATH OF REQUIRED DATA: OutFin/Measurements and OutFin/Coordinates
===============================================================================
NAME: Signal_Denoising.py
PURPOSE: Provides a demonstration of how OutFin can be used for signal
denoising.
REQUIRED IMPORTS: - os
- pandas
- numpy
- math
- sklearn
- matplotlib
- statistics
- keras
PATH OF REQUIRED DATA: OutFin/Measurements and OutFin/Coordinates
===============================================================================