import numpy as np
import matplotlib.pyplot as plt
import os, sys
currentdir = os.path.dirname(os.path.realpath(__file__))
parentdir = os.path.dirname(currentdir)
sys.path.append(parentdir)
from s_data_loader import data_path
plt.style.use('bmh')
x_acc_raw_file = open(data_path('train/InertialSignals/body_acc_x_train.txt'),
'r')
y_acc_raw_file = open(data_path('train/InertialSignals/body_acc_y_train.txt'),
'r')
z_acc_raw_file = open(data_path('train/InertialSignals/body_acc_z_train.txt'),
'r')
# Create empty lists
x_acc_raw = []
for x in x_acc_raw_file:
x_acc_raw.append([float(ts) for ts in x.split()])
y_acc_raw = []
for x in y_acc_raw_file:
y_acc_raw.append([float(ts) for ts in x.split()])
z_acc_raw = []
for x in z_acc_raw_file:
z_acc_raw.append([float(ts) for ts in x.split()])
x_acc_raw = np.array(x_acc_raw)
y_acc_raw = np.array(y_acc_raw)
import numpy as np
import matplotlib.pyplot as plt
from s_knn_dtw import KnnDtw
from s_data_loader import data_path
plt.style.use('bmh')
print("-------------------------------- section 7")
# Import the HAR dataset
x_train_file = open(data_path('train/X_train.txt'), 'r')
y_train_file = open(data_path('train/y_train.txt'), 'r')
x_test_file = open(data_path('test/X_test.txt'), 'r')
y_test_file = open(data_path('test/y_test.txt'), 'r')
# Create empty lists
x_train = []
y_train = []
x_test = []
y_test = []
# Mapping table for classes
labels = {
1: 'WALKING',
2: 'WALKING UPSTAIRS',
3: 'WALKING DOWNSTAIRS',
4: 'SITTING',
5: 'STANDING',
6: 'LAYING'
}
