diff --git a/bettwaage-plotter/main.py b/bettwaage-plotter/main.py
index 50a3a36..9ca68cb 100644
--- a/bettwaage-plotter/main.py
+++ b/bettwaage-plotter/main.py
@@ -19,7 +19,49 @@ else:
     with open(file_path, "r") as fp:
         data = json.load(fp)
 
-# make data
+
+# Experiment: Solving for missing foot with known total weight
+bed_weight = 78290
+person_weight = 63000
+known_total_weight = bed_weight + person_weight
+bed_only_weight = {}
+for d in data:
+    if d["total"] == bed_weight:
+        bed_only_weight = {
+            "tl": d["tl"],
+            "tr": d["tr"],
+            "bl": bed_weight - (d["tl"] + d["tr"] + d["br"]),
+            "br": d["br"],
+        }
+        break
+
+in_bed_data = None
+threshhold = 100000
+min_length = 100
+for d in data:
+    t = d["total"]
+    if t >= threshhold:
+        if in_bed_data is None:
+            in_bed_data = []
+        in_bed_data.append(d)
+    elif in_bed_data is not None:
+        if len(in_bed_data) < min_length:
+            in_bed_data = []
+        else:
+            break
+
+
+# Calculate bottom left
+for d in data:
+    d["bl"] = known_total_weight - (d["br"] + d["tr"] + d["tl"])
+    # Set known total weight
+    d["total"] = known_total_weight
+
+
+data = in_bed_data
+
+
+# Array data
 x = [d["timestamp"] for d in data]
 x = [datetime.strptime(d, "%Y-%m-%d %H:%M:%S.%f") for d in x]
 
@@ -32,19 +74,63 @@ tl = [d["tl"] for d in data]
 tr = [d["tr"] for d in data]
 bl = [d["bl"] for d in data]
 br = [d["br"] for d in data]
+top = [l + r for l, r in zip(tl, tr)]
+bottom = [l + r for l, r in zip(bl, br)]
+left = [t + b for t, b in zip(tl, bl)]
+right = [t + b for t, b in zip(tr, br)]
 
 
-fig, ax1 = plt.subplots()
+# Experiment: Calculate position over time
+bed_size = (140, 200)
+left_bed_only = bed_only_weight["tl"] + bed_only_weight["bl"]
+top_bed_only = bed_only_weight["tr"] + bed_only_weight["tl"]
+position_over_time = []
+for t, l in zip(top, left):
+    position_over_time.append(
+        (
+            bed_size[0] * (l - left_bed_only) / person_weight,
+            bed_size[1] * (t - top_bed_only) / person_weight,
+        )
+    )
 
-ax1.set_xlabel("Time (s)")
-ax1.set_ylabel("Weight (kg)")
 
-line_total = ax1.plot(x, total, color="tab:blue")
-line_tl = ax1.plot(x, tl, color="tab:red")
-line_tr = ax1.plot(x, tr, color="tab:green")
-line_bl = ax1.plot(x, bl, color="tab:orange")
-line_br = ax1.plot(x, br, color="tab:purple")
+# Plot data
+fig, (ax0, ax1) = plt.subplots(nrows=2)
+
+ax0.set_xlabel("Time (s)")
+ax0.set_ylabel("Weight (kg)")
+
+ax0.plot(x, total, color="tab:blue")
+ax0.plot(x, tl, color="tab:red")
+ax0.plot(x, tr, color="tab:green")
+ax0.plot(x, bl, color="tab:orange")
+ax0.plot(x, br, color="tab:purple")
+ax0.plot(x, top, color="tab:pink")
+ax0.plot(x, bottom, color="tab:grey")
+
+ax0.legend(
+    ["Total", "Top Left", "Top Right", "Bottom Left", "Bottom Right", "Top", "Bottom"]
+)
+
+
+# Experiment: Plot position
+import math
+
+segments = 100
+seg_length = math.ceil(len(position_over_time) / segments)
+horizontal, vertical = zip(*position_over_time)
+for i in range(0, segments):
+    low = int(i * seg_length)
+    high = min(int((i + 1) * seg_length), len(position_over_time))
+    ax1.plot(
+        horizontal[low:high],
+        vertical[low:high],
+        color=(0.0, 0.5, i / segments),
+        linewidth=0.3,
+    )
+ax1.set_xlim((0, bed_size[0]))
+ax1.set_ylim((0, bed_size[1]))
+ax1.invert_yaxis()
 
-ax1.legend(["Total", "Top Left", "Top Right", "Bottom Left", "Bottom Right"])
 
 plt.show()