diff --git a/Overview_Formulas_Variables.md b/Overview_Formulas_Variables.md
index 017077f..2c07f76 100644
--- a/Overview_Formulas_Variables.md
+++ b/Overview_Formulas_Variables.md
@@ -130,7 +130,8 @@ F_{\alpha B} = w(e_\alpha,\; -f_{\alpha B}) \cdot f_{\alpha B}
 \qquad \text{(team convention; not explicit in paper)}
 $$
  
-> **Note:** Paper Eq. 8 only defines $w$ weighting for ped–ped $F_{\alpha\beta}$; applying it to border $F_{\alpha B}$ is our extension.
+> **Note:** Paper Eq. 8 only defines $w$ weighting for ped–ped $F_{\alpha\beta}$; applying it to border $F_{\alpha B}$ is our extension. (Reason see page 6, top: "However, the formulas above for attractive and repulsive effects only hold for situations that are perceived in the desired direction e_alpha(t) of motion.")
+
  
 ### 2.8 Total force — Eq. 9 (p. 6), no attractors (Eq. 6) / fluctuations
  
diff --git a/forces.cpp b/forces.cpp
index 5911909..0e4b548 100644
--- a/forces.cpp
+++ b/forces.cpp
@@ -72,7 +72,7 @@ void compute_repulsive_effects_from_pedestrians(Pedestrian *pedestrians, Pedestr
 }
 
 // # Assume that the four borders are also 4 obstacles
-// # 36 n_obstacles flops = 144 flops
+// # 48 n_obstacles flops = 192 flops
 void compute_repulsive_effects_from_borders(Board &board, Pedestrian *p) {
 
   Obstacle *obstacles = board.obstacles;
@@ -89,6 +89,12 @@ void compute_repulsive_effects_from_borders(Board &board, Pedestrian *p) {
     Vector2d f_obst = (r_aB / r_aB.norm()) * (U0_AB / R) * std::exp(-r_aB.norm() / R);
 
     // # 2 ADDs
-    p->f_i += f_obst;
+    // p->f_i += f_obst; //commented since this version dont takes the field of view / angle to the border into account
+
+    // I have read the paper again and on page 6 they say
+    // However, the formulas above for attractive and repulsive effects only hold for situations that are perceived in the desired direction e_alpha(t) of motion.
+    // I assumed that with formulas above its also meant for equation 8 (even though not explicitly mentioned their)
+    // # 14 flops: 9 MULTs, 4 ADDS, 1 SQRT
+    p->f_i += f_obst * w(p->e, f_obst * -1);
   }
 }
diff --git a/main b/main
index 6df5076..8c5c77c 100755
Binary files a/main and b/main differ
diff --git a/main.cpp b/main.cpp
index 295c668..05dc0f3 100644
--- a/main.cpp
+++ b/main.cpp
@@ -56,7 +56,7 @@ int main(int argc, const char *argv[]) {
   // # Start here or right after function signature
   uint64_t start = start_tsc();
 
-  // # (8 + 55N - 55 + 144 + 4 + 8 + 4 + 10)*n_p*n_iter
+  // # (8 + 55N - 55 + 192 + 4 + 8 + 4 + 10)*n_p*n_iter
   for (int t = 0; t < n_iter; t++) {
     // Pass1: conmpute all forces from the current state
     for (int i = 0; i < n_p; i++) {
@@ -71,7 +71,7 @@ int main(int argc, const char *argv[]) {
       // # 55N - 55 flops
       compute_repulsive_effects_from_pedestrians(pedestrians, &p, n_p);
 
-      // # 144 flops
+      // # 192 flops
       compute_repulsive_effects_from_borders(board, &p);
     }
     // Pass2: integrate the forces and update the current state
@@ -92,7 +92,7 @@ int main(int argc, const char *argv[]) {
       p.e = (p.destination - p.curr_pos) / (p.destination - p.curr_pos).norm();
     }
   }
-  long long W = (long long)(8 + 55 * n_p - 55 + 144 + 4 + 8 + 4 + 10) * n_p * n_iter;
+  long long W = (long long)(8 + 55 * n_p - 55 + 192 + 4 + 8 + 4 + 10) * n_p * n_iter;
   std::cout << "W(n): ";
   std::cout << W;
   std::cout << " flops\n";