diff --git a/media/RESULTS.md b/media/RESULTS.md
index 1004aaf..14e4605 100644
--- a/media/RESULTS.md
+++ b/media/RESULTS.md
@@ -2099,6 +2099,276 @@ Results of the model in various experiments on different datasets.
 }
 ```
 
+### CHI3D
+
+```json
+{
+  "avg_time_2d": 0.060682081548791185,
+  "avg_time_3d": 0.00043821836772717926,
+  "avg_fps": 16.36117626002912
+}
+{
+  "person_nums": {
+    "total_frames": 390,
+    "total_labels": 780,
+    "total_preds": 777,
+    "considered_empty": 0,
+    "valid_preds": 777,
+    "invalid_preds": 0,
+    "missing": 3,
+    "invalid_fraction": 0.0,
+    "precision": 1.0,
+    "recall": 0.99615,
+    "f1": 0.99807,
+    "non_empty": 777
+  },
+  "mpjpe": {
+    "count": 777,
+    "mean": 0.068242,
+    "median": 0.065186,
+    "std": 0.013462,
+    "sem": 0.000483,
+    "min": 0.051948,
+    "max": 0.217357,
+    "recall-0.025": 0.0,
+    "recall-0.05": 0.0,
+    "recall-0.1": 0.976923,
+    "recall-0.15": 0.987179,
+    "recall-0.25": 0.996154,
+    "recall-0.5": 0.996154,
+    "num_labels": 780,
+    "ap-0.025": 0.0,
+    "ap-0.05": 0.0,
+    "ap-0.1": 0.971991,
+    "ap-0.15": 0.987001,
+    "ap-0.25": 0.996154,
+    "ap-0.5": 0.996154
+  },
+  "head": {
+    "count": 777,
+    "mean": 0.037924,
+    "median": 0.025795,
+    "std": 0.041221,
+    "sem": 0.00148,
+    "min": 0.003652,
+    "max": 0.338066,
+    "recall-0.025": 0.469231,
+    "recall-0.05": 0.835897,
+    "recall-0.1": 0.939744,
+    "recall-0.15": 0.961538,
+    "recall-0.25": 0.991026,
+    "recall-0.5": 0.996154,
+    "num_labels": 780
+  },
+  "shoulder_left": {
+    "count": 777,
+    "mean": 0.068426,
+    "median": 0.068295,
+    "std": 0.02725,
+    "sem": 0.000978,
+    "min": 0.016575,
+    "max": 0.357954,
+    "recall-0.025": 0.005128,
+    "recall-0.05": 0.24359,
+    "recall-0.1": 0.937179,
+    "recall-0.15": 0.985897,
+    "recall-0.25": 0.99359,
+    "recall-0.5": 0.996154,
+    "num_labels": 780
+  },
+  "shoulder_right": {
+    "count": 775,
+    "mean": 0.077543,
+    "median": 0.074897,
+    "std": 0.031788,
+    "sem": 0.001143,
+    "min": 0.010535,
+    "max": 0.485894,
+    "recall-0.025": 0.007692,
+    "recall-0.05": 0.075641,
+    "recall-0.1": 0.898718,
+    "recall-0.15": 0.982051,
+    "recall-0.25": 0.987179,
+    "recall-0.5": 0.99359,
+    "num_labels": 780
+  },
+  "elbow_left": {
+    "count": 776,
+    "mean": 0.060755,
+    "median": 0.05218,
+    "std": 0.033518,
+    "sem": 0.001204,
+    "min": 0.016563,
+    "max": 0.417809,
+    "recall-0.025": 0.002564,
+    "recall-0.05": 0.432051,
+    "recall-0.1": 0.932051,
+    "recall-0.15": 0.966667,
+    "recall-0.25": 0.989744,
+    "recall-0.5": 0.994872,
+    "num_labels": 780
+  },
+  "elbow_right": {
+    "count": 777,
+    "mean": 0.066781,
+    "median": 0.065762,
+    "std": 0.020878,
+    "sem": 0.000749,
+    "min": 0.027359,
+    "max": 0.224832,
+    "recall-0.025": 0.0,
+    "recall-0.05": 0.194872,
+    "recall-0.1": 0.941026,
+    "recall-0.15": 0.983333,
+    "recall-0.25": 0.996154,
+    "recall-0.5": 0.996154,
+    "num_labels": 780
+  },
+  "wrist_left": {
+    "count": 774,
+    "mean": 0.049563,
+    "median": 0.042911,
+    "std": 0.042084,
+    "sem": 0.001514,
+    "min": 0.006736,
+    "max": 0.497826,
+    "recall-0.025": 0.171795,
+    "recall-0.05": 0.679487,
+    "recall-0.1": 0.939744,
+    "recall-0.15": 0.967949,
+    "recall-0.25": 0.982051,
+    "recall-0.5": 0.992308,
+    "num_labels": 780
+  },
+  "wrist_right": {
+    "count": 776,
+    "mean": 0.064678,
+    "median": 0.062017,
+    "std": 0.041104,
+    "sem": 0.001477,
+    "min": 0.008905,
+    "max": 0.430827,
+    "recall-0.025": 0.042308,
+    "recall-0.05": 0.369231,
+    "recall-0.1": 0.928205,
+    "recall-0.15": 0.952564,
+    "recall-0.25": 0.985897,
+    "recall-0.5": 0.994872,
+    "num_labels": 780
+  },
+  "hip_left": {
+    "count": 777,
+    "mean": 0.109321,
+    "median": 0.109336,
+    "std": 0.017307,
+    "sem": 0.000621,
+    "min": 0.065587,
+    "max": 0.157263,
+    "recall-0.025": 0.0,
+    "recall-0.05": 0.0,
+    "recall-0.1": 0.325641,
+    "recall-0.15": 0.987179,
+    "recall-0.25": 0.996154,
+    "recall-0.5": 0.996154,
+    "num_labels": 780
+  },
+  "hip_right": {
+    "count": 777,
+    "mean": 0.134702,
+    "median": 0.134688,
+    "std": 0.014986,
+    "sem": 0.000538,
+    "min": 0.086478,
+    "max": 0.195378,
+    "recall-0.025": 0.0,
+    "recall-0.05": 0.0,
+    "recall-0.1": 0.010256,
+    "recall-0.15": 0.858974,
+    "recall-0.25": 0.996154,
+    "recall-0.5": 0.996154,
+    "num_labels": 780
+  },
+  "knee_left": {
+    "count": 777,
+    "mean": 0.050968,
+    "median": 0.049197,
+    "std": 0.018325,
+    "sem": 0.000658,
+    "min": 0.007513,
+    "max": 0.198729,
+    "recall-0.025": 0.026923,
+    "recall-0.05": 0.535897,
+    "recall-0.1": 0.957692,
+    "recall-0.15": 0.99359,
+    "recall-0.25": 0.996154,
+    "recall-0.5": 0.996154,
+    "num_labels": 780
+  },
+  "knee_right": {
+    "count": 777,
+    "mean": 0.056941,
+    "median": 0.054107,
+    "std": 0.016649,
+    "sem": 0.000598,
+    "min": 0.018899,
+    "max": 0.125673,
+    "recall-0.025": 0.002564,
+    "recall-0.05": 0.396154,
+    "recall-0.1": 0.984615,
+    "recall-0.15": 0.996154,
+    "recall-0.25": 0.996154,
+    "recall-0.5": 0.996154,
+    "num_labels": 780
+  },
+  "ankle_left": {
+    "count": 777,
+    "mean": 0.061821,
+    "median": 0.059825,
+    "std": 0.017211,
+    "sem": 0.000618,
+    "min": 0.031091,
+    "max": 0.319784,
+    "recall-0.025": 0.0,
+    "recall-0.05": 0.144872,
+    "recall-0.1": 0.973077,
+    "recall-0.15": 0.991026,
+    "recall-0.25": 0.994872,
+    "recall-0.5": 0.996154,
+    "num_labels": 780
+  },
+  "ankle_right": {
+    "count": 777,
+    "mean": 0.04225,
+    "median": 0.03841,
+    "std": 0.014422,
+    "sem": 0.000518,
+    "min": 0.015158,
+    "max": 0.170293,
+    "recall-0.025": 0.033333,
+    "recall-0.05": 0.8,
+    "recall-0.1": 0.992308,
+    "recall-0.15": 0.994872,
+    "recall-0.25": 0.996154,
+    "recall-0.5": 0.996154,
+    "num_labels": 780
+  },
+  "joint_recalls": {
+    "num_labels": 10140,
+    "recall-0.025": 0.05799,
+    "recall-0.05": 0.36164,
+    "recall-0.1": 0.82702,
+    "recall-0.15": 0.97022,
+    "recall-0.25": 0.99211,
+    "recall-0.5": 0.99546
+  }
+}
+{
+  "total_parts": 10920,
+  "correct_parts": 10328,
+  "pcp": 0.945788
+}
+```
+
 ### Tsinghua
 
 (duration 00:01:51)
diff --git a/scripts/test_skelda_dataset.py b/scripts/test_skelda_dataset.py
index 32c1dbc..ef7de25 100644
--- a/scripts/test_skelda_dataset.py
+++ b/scripts/test_skelda_dataset.py
@@ -23,6 +23,7 @@ dataset_use = "human36m"
 # dataset_use = "shelf"
 # dataset_use = "campus"
 # dataset_use = "ikeaasm"
+# dataset_use = "chi3d"
 # dataset_use = "tsinghua"
 # dataset_use = "human36m_wb"
 # dataset_use = "egohumans"
@@ -44,10 +45,6 @@ datasets = {
         "take_interval": 1,
         "with_depth": False,
     },
-    "ikeaasm": {
-        "path": "/datasets/ikeaasm/skelda/test.json",
-        "take_interval": 2,
-    },
     "campus": {
         "path": "/datasets/campus/skelda/test.json",
         "take_interval": 1,
@@ -56,6 +53,14 @@ datasets = {
         "path": "/datasets/shelf/skelda/test.json",
         "take_interval": 1,
     },
+    "ikeaasm": {
+        "path": "/datasets/ikeaasm/skelda/test.json",
+        "take_interval": 2,
+    },
+    "chi3d": {
+        "path": "/datasets/chi3d/skelda/all.json",
+        "take_interval": 5,
+    },
     "tsinghua": {
         "path": "/datasets/tsinghua/skelda/test.json",
         "take_interval": 3,
@@ -178,6 +183,11 @@ def load_labels(dataset: dict):
         for label in labels:
             label["bodyids"] = list(range(len(label["bodies3D"])))
 
+    elif "chi3d" in dataset:
+        labels = load_json(dataset["chi3d"]["path"])
+        labels = [lb for lb in labels if lb["setup"] == "s03"]
+        labels = [lb for i, lb in enumerate(labels) if i % 2000 < 150]
+
     elif "human36m_wb" in dataset:
         labels = load_json(dataset["human36m_wb"]["path"])
 
@@ -238,10 +248,10 @@ def main():
         "campus": 0.96,
         "shelf": 0.96,
         "ikeaasm": 0.89,
+        "chi3d": 0.94,
         "tsinghua": 0.96,
         "egohumans": 0.95,
         "human36m_wb": 0.94,
-        "koarob": 0.91,
     }
     minscore = minscores.get(dataset_use, 0.95)
     min_group_sizes = {
@@ -249,6 +259,7 @@ def main():
         # If the number of cameras is high, and the views are not occluded, use a higher value
         "panoptic": 1,
         "shelf": 2,
+        "chi3d": 1,
         "tsinghua": 2,
         "egohumans": 4,
     }
diff --git a/skelda b/skelda
index 0127e9d..3c74139 160000
--- a/skelda
+++ b/skelda
@@ -1 +1 @@
-Subproject commit 0127e9de87d1cdb33fac50337f18e365638e8770
+Subproject commit 3c741392c216128ed745e87f2a36094312f1352a