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The motion capture is already implemented in the life science sector, and it will continue to do the same with the continued development of technology.
FREMONT, CA: The life science motion capture technology was first utilized in the early 1970s for gait analysis. Presently the biomechanics research technology is still the most common application.
Now, technology has become the cutting-edge clinical movement research. it also helps to rehabilitate the injured military people and improve the performance of the world-class athletes. Motion capture is a significant element for the most extensive research centers, universities, and hospitals all around the world.
Optical motion capture systems are utilized in a wide range of applications. For example, the gait analysis offers medical practitioners with an immense understanding of the movement of the lower limbs. It also provides essential advantages to motor control and neuroscience by providing significant advancement while treating patients who have various complicated neuro-musculoskeletal injuries. The injuries can even consist of cerebral palsy and myelomeningocele.
Recently, coaches and athletes across a wide range of sports to enhance performance have increased their use of inertial motion capture technology that permits to track the subjects' movements and recorded them outside rather than in the laboratory. The technology can measure and assess players and athletes, which allows the coaches to enhance the technique and correct the actions so that they can prevent injuries. It is also a significant feature that can also increase the athletes' recovery after damages, making sure they are recovered safely and decreases the chance of re-injury.
The critical advancement in technology and motion capture systems is more accessible now than ever before. it particularly true because of the availability of cheap inertial devices and apps that present data in more accurate ways. The ones who are working in the broad biomechanics field; for them, motion capture is a right facilitator that empowers the users with more data-driven techniques to understand the movement of their subject.
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