The recording feature in Halocline Performance allows you to record your movements and actions as you go through your process. You can then play back this recording at any time and analyze it using various visualizations, such as the spaghetti diagram.
Spaghetti diagrams in Halocline Performance are a visualization of head and hand movements. In this way, walking and reaching paths can be displayed and times can be analyzed.
Menu > Evaluation > Replay > Visualizations > Spaghetti Diagram
After you have made a recording of your body movements, you can play the recording in the PLAY window. Click on Visualizations in the menu and select Spaghetti Diagrams in the side window that opens.
Displayed as colorful lines, the spaghetti diagrams give a good overview of the progress of the recording. The spaghetti diagrams are displayed for the part of the recording that has already played and are generated in different colors at the head and hand positions of the avatar. To see the entire lines, jump to the end of the recording.
Using the visualization settings under the activation of the spaghetti diagram, you can completely switch on and off individual representations (walking paths and gripping paths) in order to view them in isolation.
Walking paths (red marking)
The head line is displayed in the color red and shows 1:1 the movement of the head.
Here you can get first impressions about the length of your walking paths and estimate movements like bending forward and bending down.
Teleported paths are specially marked with markers. The boxes show the feet that are walking and the feet that are standing, respectively, to indicate the start and end points of the teleported path. Pointing to the box will show you how long the teleported path is. Clicking on the box, limits the displayed lines to the selected, the previous and the following path.
Reaching paths (yellow and blue markings)
The line of the right hand is shown in blue. That of the left hand in yellow.
The hand lines show 1:1 the movements covered by the hands (more precisely the controllers). Thus, long reaching distances and high or low reaching points can be identified directly.
Each action (grasp, let go) is indicated by a marker. The small boxes indicate which hand was used to perform the action and what the action is. Thus, a closed hand denotes the start of a grasping action and an open hand denotes the end of the grasping action. By the quantity and arrangement of the grab markers, you can already get a first overview of frequently used components and positions. If you point to a box, it will show you how long the respective grab action is.
A click on the box hides all other lines and shows only the selected, the previous and the following one. In addition, the avatar jumps to the selected position and reproduces the movement. This gives you the detailed knowledge you need to understand what exactly happened at each action. Click on the next marker to move to the next action. Another click on the selected marker brings you back to the view of the entire line.
Your recording including the data from the spaghetti diagram are also recorded in the tabular report. Here you can also recognize the actions by the yellow, red (or pink) and blue markings.