1 files changed, 7 insertions, 15 deletions
diff --git a/src/argaze/GazeAnalysis/DispersionThresholdIdentification.py b/src/argaze/GazeAnalysis/DispersionThresholdIdentification.py
index cb29055..92df6d2 100644
--- a/src/argaze/GazeAnalysis/DispersionThresholdIdentification.py
+++ b/src/argaze/GazeAnalysis/DispersionThresholdIdentification.py
@@ -18,9 +18,6 @@ SaccadeType = TypeVar('Saccade', bound="Saccade")
 class Fixation(GazeFeatures.Fixation):
     """Define dispersion based fixation."""
 
-    centroid: tuple = field(init=False)
-    """Centroïd of all gaze positions belonging to the fixation."""
-
     deviation_max: float = field(init=False)
     """Maximal gaze position distance to the centroïd."""
 
@@ -28,28 +25,23 @@ class Fixation(GazeFeatures.Fixation):
 
         super().__post_init__()
 
-        self.update()
-
-    def point_deviation(self, gaze_position) -> float:
-        """Get distance of a point from the fixation's centroïd."""
-
-        return numpy.sqrt((self.centroid[0] - gaze_position.value[0])**2 + (self.centroid[1] - gaze_position.value[1])**2)
-
-    def update(self):
-        """Update fixation's centroïd then maximal gaze positions deviation from this centroïd."""
-
         points = self.positions.values()
         points_x, points_y = [p[0] for p in points], [p[1] for p in points]
         points_array = numpy.column_stack([points_x, points_y])
         centroid_array = numpy.array([numpy.mean(points_x), numpy.mean(points_y)])
         deviations_array = numpy.sqrt(numpy.sum((points_array - centroid_array)**2, axis=1))
 
-        # Update frozen centroid attribute
-        object.__setattr__(self, 'centroid', (centroid_array[0], centroid_array[1]))
+        # Update frozen focus attribute using centroid
+        object.__setattr__(self, 'focus', (centroid_array[0], centroid_array[1]))
 
         # Update frozen deviation_max attribute
         object.__setattr__(self, 'deviation_max', max(deviations_array))
 
+    def point_deviation(self, gaze_position) -> float:
+        """Get distance of a point from the fixation's centroïd."""
+
+        return numpy.sqrt((self.centroid[0] - gaze_position.value[0])**2 + (self.centroid[1] - gaze_position.value[1])**2)
+
     def overlap(self, fixation) -> bool:
         """Does a gaze position from another fixation having a deviation to this fixation centroïd smaller than maximal deviation?"""