Python code of DeepKey system In the DeepKey experiment, two kinds of data are used: the gait and the EEG data. Ignore the PycharmProjects/untitled/activity_recognition_practice floder, it's empty and I will delete it later.
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walking_all.mat in matlabwork/personrecognize folder is the 8 subjects' gait data. It contains 160,000 sample pairs with each pair has 51 features and 1 label.
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EEG_ID_label6.mat is the EEG data with 8 person and each 1350 samples.
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EEG/Gait_recognize.py is the recognize code for EEG and Gait, respectively.
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Invalid_filter.py is the invalid filter code, it using the AR_ID_8person.mat data which is the normlized version of walking_all.mat.