trial_data.clean_data(interpolation_order=2)
# events: A: Force Plate Zeroing B: Calibration Pose C: First Normal Walking
# D: Longitudinal Perturbation E: Second Normal Walking F: Unloaded End
cali_data_df = trial_data.extract_processed_data(
event='Calibration Pose')
cali_data_df.columns = all_column_names
cali_data_df = cali_data_df[necessary_columns]
walking_data_df_1 = trial_data.extract_processed_data(
event='First Normal Walking')
walking_data_df_1.columns = all_column_names
walking_data_df_1 = walking_data_df_1[necessary_columns]
walking_data_df_2 = trial_data.extract_processed_data(
event='Second Normal Walking')
walking_data_df_2.columns = all_column_names
walking_data_df_2 = walking_data_df_2[necessary_columns]
cali_processed = my_initializer.process_data(cali_data_df,
marker_column_num,
force_column_num)
walking_1_processed = my_initializer.process_data(
walking_data_df_1, marker_column_num, force_column_num)
walking_2_processed = my_initializer.process_data(
walking_data_df_2, marker_column_num, force_column_num)
my_subject_data = SaveData(SPEEDS[i_speed])
save_path = processed_data_path + 'subject_' + str(i_sub) + '\\'
my_subject_data.save_data(cali_processed, walking_1_processed,
walking_2_processed, save_path)
