First, confirm whether the configuration file has been loaded, and then verify if the T-bar length setting for calibration is correct. If these two steps have been correctly completed, further confirm whether any noise points in the scene have been removed during calibration.

The coordinate system is created during calibration, and the geodetic coordinate system cannot be arbitrarily changed later.

One possibility is that noise was not completely removed during the T-bar calibration, and calibration passed just at the critical condition. Noise points appeared during the calibration process, and it is natural for noise points to appear during subsequent data collection. Another situation is the presence of reflective phenomena from equipment in the field. The equipment might have been removed from the field during calibration and brought back afterward, causing reflections.

Because the previous settings file was set with the Z-axis or Y-axis pointing upwards, changing the position of the coordinate axis now will alter the geodetic coordinate system. You only need to recalibrate.

Check the numbers in parentheses at the bottom left corner of the 2D view to see if there are any noise points other than the T-bar in the camera's field of view. If there are, they need to be removed or masked in the software.

This is related to the Windows operating system's scaling settings. There are two solutions: 1. Right-click on the Windows desktop — Display Settings — Scaling, set to 100%. 2. Right-click on the XINGYING software icon — Properties — Compatibility — Change high DPI settings — Check "Override high DPI scaling behavior" and set the scaling performed by "System."

After confirming that the camera position, angle, aperture, and focus have been adjusted, the following causes need to be investigated: 1. The physical size of the L-shaped calibration frame matches the settings in the software. According to the software settings menu — Calibration — Calibration Frame — Calibration Rod Type, select the corresponding calibration rod type based on the distance between Marker1-Marker3 on the physical L-shaped calibration frame. 2. Check if there are any extraneous noise points in the 2D view, especially checking if there are any reflections on the person swinging the T-bar calibration rod to avoid noise points other than the T-bar during the swinging process.

You can gradually analyze the following situations: 1. Hardware analysis: Check whether the switch is powered properly and whether the network cables at both ends of the computer and switch are loose; 2. Software analysis: Check whether the network card IP connected to the switch is 10.1.1.198, and whether the firewall and antivirus software are disabled.

After connecting the cameras, in the 2D view, select "Settings" - "2D View" - "Display IP" to show the 2D view of all cameras and check the continuity of IP addresses to see which camera is not connected; or visually inspect if the camera's digital display is off, which may indicate a loose network cable or POE. Reconnect the network cable and POE splitter.

You can remove the markers and calibration tools from the field and use the "Calibration" window's "Start Occlusion" function to automatically occlude any noise points present in the current field with one click. After completion, manually check each camera to ensure complete occlusion.

Check the number in brackets at the bottom left corner of the 2D view to determine if there are any noise points in the camera's field of view other than the T-bar. If there are, they need to be removed or occluded in the software.

Check whether the camera network cables are securely connected, restart the switch, or change the switch's network cable interface.

Calibration is not affected as long as you can see bright reflective markers in the camera's 2D view.

1. Increase the swing time, and ensure the swing motion is not too fast, so that the gray area in the camera view is as deep as possible, thereby increasing the effective data volume. 2. Contact sales or engineers in the group to confirm whether the software or camera firmware is the latest version.

The camera in the system may have been touched/moved in position or angle, or the system has not been calibrated for a long time; recalibration will suffice.

This is mostly due to a high degree of symmetry in the arrangement of multiple markers on the object being measured. It is recommended to arrange them in an irregular, asymmetrical structure. You can refer to the video at https://www.bilibili.com/video/BV1Rr4y1c7Yp.

Some cameras have not turned white because they have not completely recognized the four points of the L-shaped calibration. You can proceed with T-shaped calibration, and subsequent calculations will be performed using the calibration data.

Check whether the "Unfreeze" button has not been clicked.

Supports displaying the trajectory information of markers in post-processing mode. Right-click with the mouse, check "Trajectory" in the 3D view display settings, and then select the marker point for which you need trajectory information to display it.

In post-processing mode, load motion capture data and manually create a markerset to adjust the position and angle of the rigid body. Rigid bodies created with one click cannot be modified in real-time; modifications can be made in post-processing using collected data. In post-processing, select the rigid body and modify its axis in the "Bone Axis" field on the right-side properties panel.

Check if the number of markers is 53 points. If fewer than 53, verify if any markers are missing or obstructed. If more than 53, check for extra markers or noise points in the environment.

Verify if the number and position of human markers have changed. Click "Reset Recognition."

1. The software has completed calibration, and the tested markers or rigid bodies can be observed normally in the 3D view. 2. In the "Data Broadcast" view of the software, select the server-side IP address and enable the SDK. 3. Use our Matlab SDK to obtain data in real-time in Matlab.

The following points need to be checked: 1. Whether a markerset has been established for the tested object in XINGYING, and whether the rigid body on the tested object is visible in the 3D view; 2. Confirm that VRPN is selected in the settings interface and that the correct server-side address is chosen; 3. On the ROS side, ping the server-side address selected in XINGYING to see if it can be reached.

Transmission via SDK.

In the system settings, selecting "3D Smoothing," "Jitter Reduction," "Rigid Body Smoothing," and "IK Compensation" will result in improvements.

First, confirm how to define the joints that need to be measured, determine the measurement points, which are generally bony landmarks, and then place reflective markers at these measurement points. Through post-processing, name and connect the reflective markers. Use the Analysis tool to measure the angles formed by the lines between the reflective markers, which allows you to calculate the angles and export the data.

Different force plate models have different operating methods, and even the same model may have different connection methods and operations. Please consult a NOKOV measurement engineer.

Through plugin transmission, the motion capture software sends an SDK outward at a certain frequency, and the animation software receives it at the same frequency. For specific inquiries, please consult sales or an engineer.

You can contact us by phone (010-64922321), email (info@nokov.cn), or by leaving a message. We will reach out to you at the earliest opportunity upon receiving your message and create a corresponding solution based on your needs.

You can contact us by phone (010-64922321), email (info@nokov.cn), or by leaving a message. We will reach out to you at the earliest opportunity upon receiving your message and create a corresponding solution based on your needs.