To run GaitSAV_descriptives.py you need to first:

1. Install python 3.10 or higher and the packages needed for the script to work (numpy, seaborn, matoplotlib, glob, warnings, pandas, scipy)
2. update "path_dir_bf" and "path_dir_sh" variables to include the path to folder containing the csv files from GaitSAV_barefoot.zip and GaitSAV_shoe.zip, respectively.
3. Run the code. It will take a few minutes to complete .

Output is a combined figure of the mean SAV of all detected cycles from the three rotation axes.

The code is dataset specific and it is optimized to detect all walks and full cycles as well as possible.


The dataset consists of following documents and files
	
1.	Data description.txt: Text document describing the contents of the other files in the repository.
2.	subject_measures.csv: Csv file containing information on subject weight, height, age and gender.
3.	sensors.csv: Csv file linking each session and foot to the sensor ID used in measuring data.
4.	GaitSAV_shoe.zip & GaitSAV_barefoot.zip: compressed folders, each containing 116 subject and foot specific 	csv files of gyroscope raw data for walking with shoes and barefoot walking respectively. The total number 	of gait cycles recorded was 3865, from which 1848 were with shoes and 2017 barefooted.
5.	GaitSAV_descriptives.py: Python script for defining gait cycles out of raw data csv files and creating mean 	angular velocity figures.
6.	GaitSAV_subject_descriptives.py: Python script for creating subject characteristic plots 3 out 	of 	subject_measures.csv file data.

Descriptions of the columns of raw data files in compressed folders:
Column		Description
UTC			UTC timestamp
Gyroscope X		Gyroscope x axis angular velocity signal
Gyroscope Y		Gyroscope y axis angular velocity signal
Gyroscope Z		Gyroscope z axis angular velocity signal


Descriptions of the columns of subject_measures.csv.
Column	Description
ID		Subject ID
Gender	Subject gender: Male (M) or Female (F)
Age (years)	Subject age in years
Height (m)	Subject height in meters.
Weight (kg)	Subject weight in kg
 

Descriptions of the columns of sensors.csv.
Column	Description
subject	Specifies subject ID
shoe_sc	Shoe scenario (shoe/barefoot)
foot		Right/left
sensor	Sensor ID number of the used sensor