Whole body exercise quality intelligent evaluation system

Abstract

An intelligent evaluation system for whole-body motion quality, including multiple uniformly distributed 3D motion capture cameras whose front-end adopts a circle fitting algorithm for center calculation function processing chip of mark points, light weight high reflection mark balls for capture by the motion capture cameras, and a host computer , the motion capture camera captures and records the characteristic motion video of the light and highly reflective logo ball, and inputs it to the host. The host is divided into five sections according to the GMs standard and pre-defined for each section, and the system storage of the host is established. Standard GMs database, the host imports characteristic motion videos and detects moving objects on the videos, effectively improving the accuracy of post-diagnosis. And the present invention can separate from the scene and the target, and realize the remote operation.

Description

technical field [0001] The invention relates to an intelligent evaluation system for whole body exercise quality. Background technique [0002] General movement assessment (generalmovementsassess-ment) is an assessment technique proposed by Prechtl in the 1990s, referred to as GMs. This assessment reflects the damage and repair of brain function through the qualitative analysis of the spontaneous movement characteristics of infants aged 0-6 months. In order to facilitate the evaluation, the GM Association stipulates the definition criteria of normal and abnormal GMs. The normal GMs pattern is not static. GMs of preterm infants are divided into three developmental stages: premature stage, writhing movement, and restless movement; GMs of full-term infants are divided into two developmental stages: writhing movement and restless movement. Each stage has its characteristic movement pattern, which persists when the infant is quietly awake and not attracted by external objects; ...

AI Technical Summary

Problems solved by technology

Nowadays, manual judgment is generally used, which takes a long time, is prone to mistakes, and requires on-site judgment. The judgment result is based on data. Once the data is wrong, misdiagnosis is prone to occur.