Motion Capture Scanners: Key Considerations for USB Camera Module Selection
August 5, 2025
In motion capture scanning instruments like Gate Scanner that analyze gait videos captured by cameras, the selection of USB camera modules is crucial. To accurately measure clinical gait information related to brain health, the following key factors need to be emphasized.
Resolution is a fundamental and critical factor. High resolution ensures clearer capture of gait details, facilitating subsequent analysis of subtle movement changes. For example, a camera module with high pixels can make the captured marker points appear closer to circular in the image, resulting in more accurate coordinate extraction. This lays a solid foundation for the precise extraction of gait information, which is extremely important for identifying subtle gait changes associated with early degenerative brain diseases. Frame rate is equally important; the higher the lens frequency, the more image data can be collected within the same period, enabling more accurate 3D spatial motion trajectory data. For capturing dynamic gait, a higher frame rate ensures the continuity and accuracy of movements, avoiding the omission of key action moments, and helping to accurately analyze 20 clinical gait information such as gait rhythm and stride changes.
A high-speed USB interface is preferred for the interface type, as it enables high-speed data transmission, meeting the demand for rapid transmission of large amounts of image data during motion capture. This avoids data transmission delays that could affect the real-time performance and accuracy of gait analysis. In addition, if outdoor motion capture is involved, the anti-environmental light interference capability of the camera module and other characteristics need to be considered. For instance, some cameras are equipped with optical lenses integrated with band-pass filters, which can block and filter non-infrared light sources, reduce environmental light interference, and obtain pure marker point information. This ensures accurate gait capture even in complex outdoor environments, providing reliable video data support for the early detection and prevention of degenerative brain diseases.
