1 files changed, 35 insertions, 21 deletions

diff --git a/docs/user_guide/gaze_analysis_pipeline/logging.md b/docs/user_guide/gaze_analysis_pipeline/logging.md
index 001c213..9cfe152 100644
--- a/docs/user_guide/gaze_analysis_pipeline/logging.md
+++ b/docs/user_guide/gaze_analysis_pipeline/logging.md
@@ -13,11 +13,20 @@ Here is an extract from the JSON ArFrame configuration file where logging is ena
 {
     "name": "My FullHD screen",
     "size": [1920, 1080],
-    "observers": "my_frame_logger.py",
+    "observers": {
+        "my_frame_logger.ScanPathAnalysisLogger": {
+            "path": "./scan_path_metrics.csv",
+            "header": ["Timestamp (ms)", "Duration (ms)", "Steps number"]
+        },
     ...
     "layers": {
         "MyLayer": {
-            "observers": "my_layer_logger.py",
+            "observers": {
+                "my_layer_logger.AOIScanPathAnalysisLogger": {
+                    "path": "./aoi_scan_path_metrics.csv",
+                    "header": ["Timestamp (ms)", "NGram counts"]
+                }
+            },
             ...
         }
     }
@@ -42,17 +51,12 @@ class ScanPathAnalysisLogger(DataFeatures.PipelineStepObserver, UtilsFeatures.Fi
 
             log = (
                 timestamp, 
-                ar_frame.scan_path_analyzers['argaze.GazeAnalysis.Basic'].path_duration, 
-                ar_frame.scan_path_analyzers['argaze.GazeAnalysis.Basic'].steps_number
+                ar_frame.analysis['argaze.GazeAnalysis.Basic'].path_duration, 
+                ar_frame.analysis['argaze.GazeAnalysis.Basic'].steps_number
             )
 
             # Write to file
             self.write(log)
-
-# Export logger as observer
-__observers__ = {
-    "Scan path analysis logger": ScanPathAnalysisLogger(path="./scan_path_metrics.csv", header=("Timestamp (ms)", "Duration (ms)", "Steps number"))
-    }
 ```
 
 Assuming that [ArGaze.GazeAnalysis.Basic](../../argaze.md/#argaze.GazeAnalysis.Basic) scan path analysis module is enabled for 'My FullHD screen' ArFrame, a ***scan_path_metrics.csv*** file would be created:
@@ -82,16 +86,11 @@ class AOIScanPathAnalysisLogger(DataFeatures.PipelineStepObserver, UtilsFeatures
 
             log = (
                 timestamp,
-                ar_layer.aoi_scan_path_analyzers['argaze.GazeAnalysis.NGram'].ngrams_count
+                ar_layer.analysis['argaze.GazeAnalysis.NGram'].ngrams_count
             )
 
             # Write to file
             self.write(log)
-
-# Export logger as observer
-__observers__ = {
-    "AOI Scan path analysis logger": AOIScanPathAnalysisLogger(path="./aoi_scan_path_metrics.csv", header=("Timestamp (ms)", "NGram counts"))
-    }
 ```
 
 Assuming that [ArGaze.GazeAnalysis.NGram](../../argaze.md/#argaze.GazeAnalysis.NGram) AOI scan path analysis module is enabled for 'MyLayer' ArLayer, a ***aoi_scan_path_metrics.csv*** file would be created:
@@ -110,9 +109,28 @@ Assuming that [ArGaze.GazeAnalysis.NGram](../../argaze.md/#argaze.GazeAnalysis.N
 
 As explained in [pipeline steps visualisation chapter](visualisation.md), it is possible to get [ArFrame.image](../../argaze.md/#argaze.ArFeatures.ArFrame.image) once timestamped gaze positions have been processed by [ArFrame.look](../../argaze.md/#argaze.ArFeatures.ArFrame.look) method.
 
+Here is the JSON ArFrame configuration file where [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) observers are extended with a new my_frame_logger.VideoRecorder instance:
+
+```json
+{
+    "name": "My FullHD screen",
+    "size": [1920, 1080],
+    "observers": {
+        ...
+        "my_frame_logger.VideoRecorder": {
+            "path": "./video.mp4",
+            "width": 1920,
+            "height": 1080,
+            "fps": 15
+        },
+    ...
+}
+```
+
+Here is *my_frame_logger.py* file extended with a new VideoRecorder class:
+
 ```python
-from argaze import DataFeatures
-from argaze.utils import UtilsFeatures
+...
 
 class VideoRecorder(DataFeatures.PipelineStepObserver, UtilsFeatures.VideoWriter):
 
@@ -121,10 +139,6 @@ class VideoRecorder(DataFeatures.PipelineStepObserver, UtilsFeatures.VideoWriter
 
         self.write(ar_frame.image())
 
-# Export recorder as observer
-__observers__ = {
-    "Video recorder": VideoRecorder(path="./video.mp4", width=1920, height=1080, fps=15)
-    }
 ```
 
 Assuming that [ArFrame.image_parameters](../../argaze.md/#argaze.ArFeatures.ArFrame.image_parameters) are provided, ***video.mp4*** file would be created.
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