Anatomical landmarks are selected for their reliability and their value in connecting joint motion. Reflective markers are placed on the body with specific guidelines to ensure the data is accurate and precise because muscle and skin can move at high velocity, creating a challenge with data quality. Without oversimplifying the process, motion capture begins by recording motion from cameras and tagged body parts, or estimates motion by using more limited cameras and IMU sensors.Īfter the data is captured, additional filtering and calculations are performed to clean the data up and ensure that motion artifacts do not create false reporting. High-performance motion capture systems are so fine that they can see facial expressions and fingers move in great detail, such as a person playing the piano. Wearable bodysuits, usually with IMU sensors, are becoming more popular because of their portability, but they are seen as more clinical options that demand less data granularity and precision. These new, less-accurate systems are now taking over a narrow part of the motion capture market. Some less-precise systems are growing in popularity because they are inexpensive and solve easier problems, like treadmill analysis with running. Motion capture using video is possible, but most research-grade systems prefer using infrared cameras and reflective markers. Two clear options exist with motion capture: marker or optical systems and markerless solutions. Capturing full body motion requires a controlled environment for the system to have enough robustness to collect data properly. Some motion capture systems are designed for indoor use but have some outdoor functions that are effective and appropriate. The amount of detail and precision a user of motion capture needs determines how the data is collected, as each system has abilities and constraints with both accuracy and flexibility of the information. Motion capture is one part marking and tracking the body and one part converting that information into data that is useful for both research and applications in markets such as entertainment. Markerless cameras, such as the Microsoft Kinect device, use an infrared laser and camera together to create depth in three dimensions, but those systems have limitations in sport. IMUs used together can create motion capture data from calculations, but add another level of complexity to the challenge of measuring body motions.
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