change decider to finder names

Thesis-Code/combined-sensor-finder/combined-sensor-finder.py

@@ -114,7 +114,7 @@ def combined_sensor_finder(sensors, placement, acc_freq=0, gyr_freq=0):
                 bp = []
                 for a,g in p_s:
                     #print("Hallo: ",[i[0].info.metadata[position_key] for i in p_s])
-                    bp.append(placement_decider(a, g, freq=freq))
+                    bp.append(placement_finder(a, g, freq=freq))
                 # 3 Valid Sensors
                 if len(p_s) == 3:
                     if len([i for i in bp if i in high_bp]) > 2:
@@ -211,7 +211,7 @@ def combined_sensor_finder(sensors, placement, acc_freq=0, gyr_freq=0):
             # comparisons between sensors
             bp = []
             for a,g in p_s:
-                bp.append(placement_decider(a, g, freq=freq))
+                bp.append(placement_finder(a, g, freq=freq))
 
             if True:
                 if not "shin" in bp:
@@ -248,7 +248,7 @@ def combined_sensor_finder(sensors, placement, acc_freq=0, gyr_freq=0):
             # comparisons between sensors
             bp = []
             for a,g in p_s:
-                bp.append(placement_decider(a, g, freq=freq))
+                bp.append(placement_finder(a, g, freq=freq))
             if len(p_s) == 2:
                 if len([i for i in bp if i in high_bp]) == 2:
                     return p_s[get_n_min_max(p_s, "pps_gyr", 1, "min")[0]]

Thesis-Code/combined-sensor-finder/placement_finder.py

@@ -10,7 +10,7 @@ import numpy as np
 from numpy import mean, sqrt, square, var, corrcoef, std, quantile, percentile
 from scipy.stats import skew, kurtosis
 
-def placement_decider(walking_acc, walking_gyro, freq=100, walking_mag=0):
+def placement_finder(walking_acc, walking_gyro, freq=100, walking_mag=0):
     """
     This placement decider takes some statistical moments 
     to decide which body_part is the most probably