NOKOV
Website
XingYing4.1-EN
XingYing4.1-EN
  • XINGYING4.0
    • Beginner's Guide
      • Hardware Setup
      • Software Quick Start
    • Ⅰ. System Overview
      • 1. NOKOV Motion Capture System
      • 2. Hardware Components
    • Ⅱ. System and Camera Setup
      • 1. Camera Models
      • 2. Hardware Assembly
      • 3. Camera Connection
      • 4. Focusing and Aperture
    • Ⅲ. Software Installation and Launch
      • 1. Network Settings
      • 2. Firewall Settings
      • 3. Software Installation
      • 4. Software Launch
      • 5. Software Activation
      • 6.Lens configuration
    • Ⅳ. Getting Started with XINGYING 4.0
      • 1. Menu Bar
      • 2. Toolbar
    • Ⅴ. Calibration
      • 1. Calibration Settings
      • 2. Calibration Preparation
      • 3. Zoning Calibration
      • 4. T Calibration Progress Prompt
      • 5. Reference Video Calibration
    • Ⅵ. Views
      • 1. Device Properties
      • 2. Assets Properties
      • 3. Data Casting
    • Ⅶ. Software Settings
      • 1. Recording Settings
      • 2. View Settingss
      • 3. AI Settings
      • 4. Preferences
      • 5. Other Settings
    • Ⅷ. Calibration Categories
      • 1. Preparing for Calibration
      • 2. Basic Calibration
      • 3. Updating Calibration
      • 4. Origin Point Calibration
      • 5. Partial Calibration
      • 6.Ground Calibration
      • 7. Calibration-free (Anchor Calibration)
      • 8. side-mounted Camera / inverted Camera
    • Ⅸ. Markerset Creation
      • 1. Rigid
      • 2. Body
      • 3. Custom template
      • 4. Agent
      • 5. Asset Library
      • 6.Probe
      • 7.Scene library
    • Ⅹ. Data Collection and Fast Playback
      • 1. Data Collection
      • 2. Fast Playback
    • Ⅺ. Data Analysis
      • 1. Analyze Graphs
      • 2. Skeleton Graphs
      • 3. Analog Graphs
      • 4. Force Plate Data
      • 5. Health Graphs
      • 6. VMarker Graphs
    • Ⅻ. Data Processing
      • 1. Importing Data
      • 2. Create MarkerSet (Rigid)
      • 3. Use Existing MarkerSet
      • 4. Data Restoration
      • 5. Template Creation
      • 6. Template Identification and Tracking
      • 7. Data Rectification
      • 8. Use MarkerSet in Real-Time
      • 9. Marker Editing
      • 10.Marker switching
      • 11.Multi-frame recognition
    • XIII. Data Export
      • 1. Ly Files
      • 2. XRS Files
      • 3. TRC Files
      • 4. BVH Files
      • 5. HTR Files
      • 6. FBX Files
      • 7. Dynamics Files
      • 8. C3D Files
      • 9. ANC Files
      • 10. Exporting Forces Files
      • 11. Packing motion capture data
    • XIV. Human Body Template
      • 1. 53 Markers and Skeleton Definitions
      • 2. Helen Hayes Model
      • 3. Gloved Setup for 53-Marker Template
      • 4.CGM2 Body Model
      • 5.Finger Marker Point Instructions
      • 6. Explanation of 59-Point Finger Attachment
      • 7. Explanation of 63-Point Finger Attachment
      • 8.PlugIn Gait Marker Placement Instructions
    • XV. Data Retargeting
      • 1. Importing Model Assets
    • XVI. Third-Party Integrations
      • Force Plates
        • Bertec
        • KUNWEI
        • AMTI
        • Kistler
        • Aili Intelligent
        • General configuration
          • Import/Export Force Plate Config Files
          • Force and Torque
          • Other Configurations
      • EMG
        • ZHIYUNWEI
        • Distributed Wireless Electromyography
        • Delsys
        • Cometa
        • Noraxon
      • High-Speed Industrial Cameras
        • Standard industrial camera
        • Alkeria
        • HUIDIAN
        • DAHENG
        • DITECT
        • Network camera
        • FLIR Industrial Camera
      • Inertial Gloves
        • Glove management
        • Manus
        • VRTRIX
        • Diver-X
          • Installation and Calibration Configuration
          • Creating a Human Body Model with Gloves
    • XVII. Plugins & SDKs
      • 1. Unreal Engine (UE) Plugin
      • 2. Guide to Connecting Devices and Integrating VRPN Data with UE
      • 3. Use VRPN Data to Drive Rigid Body in UE
      • 4. MotionBuilder Plugin
      • 5. Maya Plugin
      • 6. Unity Plugin
      • 7. IClone Plugin
      • 8. Application of TimeCode in UE
      • 9.C4D Plugin
      • 10.Blender plugin
      • 11.Open VR Plugin
      • 12. Communication between Ros2 and Nokov
    • XVIII. UDP Capture Broadcast/Triggering
      • 1. Remote Control
      • 2. Remote Trigger
    • XVIIII.Log
      • 1.DisplayLog
Powered by GitBook
On this page
  • Repairing Missing Data Points
  • Training (Only applicable to human body)
  1. XINGYING4.0
  2. Ⅻ. Data Processing

5. Template Creation

  1. In real-time mode, when creating a human body, the model may encounter the following situations during movement:

    • Marker points on the human body are not recognized in the 3D view.

    • Marker points on the human body are incorrectly identified in the 3D view.

    • Marker points on the human body are missing.

  2. This may occur due to sudden, excessive, or fast movements by the model during the motion process, or if the markers are obstructed.

  3. Solution:

    • If you encounter similar situations as described above, you can record data for specific actions that tend to cause points to be unrecognized for repair purposes.

    • You can also refer to our "Calibration Exercise" video, mimic the movements demonstrated in the video for calibration, and record the process.


Repairing Missing Data Points

  1. Before starting the template training, it is essential to repair the missing data frames in the motion capture data. For specific operational steps, please refer to the previous section "Twelve, Data Processing → (Four) Data Repair." If there is widespread missing data or a significant number of frames with missing points, it is not recommended to repair all of them. It is sufficient to repair only a few frames with missing data.


Training (Only applicable to human body)

Overwrite Training: This will recalculate the maximum and minimum values of the links within the selected range on the current progress bar. The calculated maximum and minimum values of the links will overwrite the original maximum and minimum values in the Mars file.

  1. For example, after completing data repair, if a marker point remains unrecognized correctly across a series of consecutive frames, you can select a segment of continuous frames before or after this section where the marker point is correctly identified as the selection range.

  2. Open the training window, set "Select Frames" as the training object, and click on the "Overwrite Training" button. This will update and overwrite the original maximum and minimum values of the links in the Mars file.

  3. Next, include the consecutive frames with incorrect recognition within the selection range. Click on the "Track Identify" button. The new maximum and minimum values of the links, updated during the training, will be applied to the consecutive frames with incorrect recognition. The previously unrecognized points will also be correctly tracked and identified.

  4. After completing the training, click on save in the asset panel, then go to "File" and select "Save Motion Capture Data." Switch to real-time mode, load the Markerset template created from the training, and click the play button to proceed.


Enhanced Training: Based on the Mars file template, the links are recalculated and updated. If the calculated maximum and minimum values of the links are larger or smaller than those in the template, they are updated. If the calculated maximum and minimum values fall within the range of the template's link values, no update is performed.

Previous4. Data RestorationNext6. Template Identification and Tracking

Last updated 7 months ago