diff --git a/dbm_lib/dbm_features/raw_features/util/math_util.py b/dbm_lib/dbm_features/raw_features/util/math_util.py
deleted file mode 100644
index 283acadc..00000000
--- a/dbm_lib/dbm_features/raw_features/util/math_util.py
+++ /dev/null
@@ -1,57 +0,0 @@
-"""
-file_name: facial_tremor
-project_name: cdx_analysis
-created: 2019-03-16
-author: Deshana Desai
-"""
-import sys, os, glob, cv2
-import pandas as pd
-import numpy as np
-
-
-def euclidean_distance(point1, point2):
-    """
-    Compute euclidean distance between points
-    """
-
-    return np.sqrt((point1[0] - point2[0])**2 + (point1[1] - point2[1])**2)
-
-
-# def detect_peaks()
-
-
-def expand_landmarks(landmarks):
-    """
-    util method to expand landmark list:
-    eg: [1,2] -> [['l1_x', 'l1_y'], ['l2_x', 'l2_y']]
-    """
-    return [['l{}_x'.format(l), 'l{}_y'.format(l)] for l in landmarks]
-
-
-
-def calc_displacement_vec(df, landmarks, num_frames):
-    """
-    Calculates displacement vector frame by frame
-    """
-
-    landmarks = expand_landmarks(landmarks)
-
-    disp_vec = np.zeros((len(landmarks), num_frames))
-    prev_point = np.zeros((len(landmarks), 2))
-
-    # initialize
-    for j, pair in enumerate(landmarks):
-        first_row = df.iloc[0]
-        prev_point[j] = (first_row[pair[0]], first_row[pair[1]])
-
-
-    for i in range(num_frames):
-        frame_row = df.iloc[i]
-        for j, pair in enumerate(landmarks):
-            x, y = pair[0], pair[1]
-            current = (frame_row[x], frame_row[y])
-            deviation = euclidean_distance( current, prev_point[j])
-            disp_vec[j][i] = deviation
-            prev_point[j] = current
-
-    return disp_vec