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Characterizing a physical capability by motion analysis

A technology for sports tasks and body parts, applied in the direction of sports accessories, gymnastics equipment, instruments, etc., can solve the problems of lack and limitation of tools and technical program development, and achieve fast and relatively automatic management

Active Publication Date: 2014-11-05
艾伦·约瑟夫·泽尔纳
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the wide array and complexity of underlying human motions, the large amount of raw data generated, and especially the lack of useful results that do not require expert interpretation severely limit the program development of tools and techniques in the field

Method used

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  • Characterizing a physical capability by motion analysis
  • Characterizing a physical capability by motion analysis
  • Characterizing a physical capability by motion analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] Example 1 - Back Pain Assessment

[0034] In the case of back pain assessment, a group of subjects with known impairments of varying degrees were tested.

[0035] From a clinical point of view, a comprehensive set of movements to be performed by the subject is prescribed, while a comprehensive set of parameters characterizing those movements are acquired. Figure 1A with 1B A human body 1 and various possible prescribed movements are shown. For example, the subject may be instructed to bend 2 in one or more specific directions, stand up from a sitting position 3, twist body parts to varying degrees 4, walk normally, and turn or move various body parts 5,6. Exercise can be repeated many times. Prescribed exercises may include those performed with weight bearing as well as those performed without weight bearing or with varying degrees of weight bearing. Both motions involving biomechanically open kinetic chains and closed kinetic chains can be employed.

[0036] Tho...

Embodiment 2

[0040] Example 2 - Masquerade Assessment

[0041] A second application example, also related to back pain, is a protocol for the detection of malingering or "trying to be real". Rather than yielding a scaled index of back health, the protocol generates a two-state classification of inauthentic / authentic effort or spoofed / non-spoofed within a stated confidence level. Following the teachings herein, for both actual back pain patients and control subjects, possible ranges of motion and measurements of those motions were hypothesized, and information about those specific factors was measured and analyzed. A premise of this assessment is that chronic back pain will result in a very consistent movement profile when entering the "pain point" while performing prescribed movements. In other words, if a subject is asked to perform a task that causes back pain, he or she will experience back pain at the same point during the movement each time the task is performed. And, it is also a...

Embodiment 3

[0045] Example 3 - Golf Ball Performance Index

[0046] An example of a sporting performance consistent with the theories taught herein is the "Golf Performance Index." The GPI score is a scale rating of the overall level of performance of the golf skill. One way to think about this is as the process of transforming data comprising a time series of values ​​representing a person's motion to provide an objective and meaningful assessment of that person's golf swing rating. When learning new swings, subjects may make steady progress in their mastery of the new skill, which in fact may produce erratic end results. When training others or self-training, there is value in objectively evaluating progress in learning that swing in ways other than the end result. It is desirable to determine the overall figure of merit for swing performance based on minimal measurements (for cost reasons, and to reduce the golfer's burden of intervening instrumentation). The expected swing qualit...

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PUM

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Abstract

Motion Analysis is used to classify or rate human capability in a physical domain via a minimized movement and data collection protocol producing a discreet, overall figure of merit of the selected physical capability. The minimal protocol is determined by data mining of a more extensive movement and data collection. Protocols are relevant in medical, sports and occupational applications. Kinematic, kinetic, body type, Electromyography (EMG), Ground Reactive Force (GRF), demographic, and psychological data are encompassed. Resulting protocols are capable of transforming raw data representing specific human motions into an objective rating of a skill or capability related to those motions.

Description

technical field [0001] Embodiments of the invention include analyzing human movements to grade or rank physical abilities or conditions related to those movements. Background technique [0002] Kinematic and kinetic measurements have been used to understand human physiology, for the purpose of diagnosing disease, sports research, and improving sports skills. Motion data has been collected through a number of measurement techniques, including with devices attached to the body and with cameras that detect the motion of body parts and detect the motion of specific marker points on the body. [0003] Professional sports, clinical and research applications of the technology include training elite athletes, predicting the late onset of cerebral palsy symptoms in infants and young children, and tracking improvement over the course of treatment. The cost of dynamic body movement and force measurement equipment is reduced and biomechanical knowledge is increased. However, the wide ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/103A61B5/11
CPCA61B5/7264A61B5/1038A63B2225/50A63B69/3608A63B69/38G01S5/02A61B5/7267A63B2220/10G06F19/3443G06F19/3431A63B2220/12A63B24/0006A61B5/1127A63B2220/806A63B2220/807A61B5/1124A63B2220/30A63B24/0062A63B71/0616A63B2220/40A63B2220/51A63B2209/08G16H50/30G16H50/70
Inventor 艾伦·约瑟夫·泽尔纳
Owner 艾伦·约瑟夫·泽尔纳
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