Method and system for delivering biomechanical feedback to human and object motion

Abstract

A method and system to deliver biomechanical feedback utilizes three major elements: (1) multiple hardware data capture devices, including optical motion capture, inertial measurement units, infrared scanning devices, and two-dimensional RGB consecutive image capture devices, (2) a cross-platform compatible physics engine compatible with optical motion capture, inertial measurement units, infrared scanning devices, and two-dimensional RGB consecutive image capture devices, and (3) interactive platforms and user-interfaces to deliver real-time feedback to motions of human subjects and any objects in their possession and proximity.

Description

FIELD OF THE INVENTION[0001]This disclosure relates to a method and system for delivering biomechanical feedback to human and object motions.BACKGROUND OF INVENTION[0002]Systems capable of delivering human and object motion currently exist but are typically very sophisticated and expensive. As well, the format of the feedback provided by these systems varies considerably. Typically, there are no exhaustive methods and systems to deliver biomechanical feedback across multiple platforms and entities consistently. For example, optical motion capture is currently used in motion capture studios and sports technology companies to analyze humans and objects. These motion capture laboratories and studios focus on biomechanical research of human subjects to analyze performance, recovery, and injury risk identifiers, amongst others. Many biomechanical researchers develop proprietary software and processing algorithms to extract kinematic and kinetic measures of human and object motion. The ap...

AI Technical Summary

Problems solved by technology

Systems capable of delivering human and object motion currently exist but are typically very sophisticated and expensive.

Typically, there are no exhaustive methods and systems to deliver biomechanical feedback across multiple platforms and entities consistently.

Feedback is usually given in highly technical formats that often leave the test-subject unaware of the true underlying biomechanical flaw and fail to address corrective exercises, drills, and training regimens to improve performance and recovery, and reduce the risk of injury.

As well, when and if prescriptive feedback is given, there are few methods to assess compliance with such feedback and there are few systems available for appropriate re-evaluation of the human subject and object.

An example of such use is the ability to extract data from one or more on miniaturized accelerometers and gyroscopes for the purpose of reconstructing three-dimensional motion, however, there are limitations to the precision and accuracy of wearable technology that often misleads users with information that is not supported by statistical models.

Wearable technology also does not provide comprehensive motion detection of all body and object segments, and, thus, does not allow for extensive prescriptive feedback to improve performance and recovery, and, thereby, reduce the risk of injury.

That said, there is no cross-platform continuity to keep users engaged, and few methods to monitor compliance and deliver significant feedback.

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