Feature set (Intermediate feature files)
Inside the data/featureset
or data/pkl
folder, you won’t find any files in this folder until you run the codes. Files in data/featureset
folder are in .csv
format and files in data/pkl
folder are in binary format .pkl
. Both will share the same filename and have the same content/values once loaded in the program.
There will be two data types: one is for feature vector (.data.csv
or .data.pkl
) and the other is for class label (.class.csv
or .class.pkl
). They are associated with each other.
For example, session1_BFW.40.data.csv
represents feature vectors for session 1 and the features are computed with data from both wrists and with window size of 40 samples (which is 1s under 40 Hz sampling rate).
As another example, session_all_DW.600.class.csv
represents class labels for all sessions and the corresponding .data.csv
is computed with dominant wrist accelerometer data with window size 600 samples (which is 15s under 40 Hz sampling rate).
Feature vector file format
There will be a header row. The first column is the index of current segment (start from 0). And the rest columns are different features. It’s easy to understand the meaning through the names, or you may refer to the documentation of the source codes.
Class label file format
There will be a header row with all necessary or unnecessary columns, you can choose to use any of them.
Last updated