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KINECT BASED BALANCE ANALYSIS USING SINGLE LEG STANCE (SLS) EXERCISE

机译:基于单腿姿势(SLS)锻炼的基于Kinect的平衡分析

摘要

Synchronized and coordinated activation of the postural muscles of the trunk and lower limbs is required for maintaining equilibrium and balance in human body. Poor postural balance control causes injury or falls in huge population and is supposed to be a critical factor of common motor skills. Single Leg Stance (SLS) is a good option for measuring postural control in any stance, which not only assesses postural steadiness in a static position by a temporal measurement (SLS-duration) but also analyses the role of body skeleton joints in postural stability and correction. This method provides a quick, reliable and easy way to screen their patients for fall risks and is easily incorporated into a comprehensive functional evaluation for older adults. An automatic unobtrusive system is proposed here to measure SLS duration and body balance. For this purpose, vibration-jitter analysis is performed which gives a clear view of relative variation of frequency of different skeleton joints over time. The whole processing is done on the dataset of skeleton joints obtained from Kinect. The dataset of skeleton joints through the Kinect setup, is used instead of video, which addresses user privacy concerns.
机译:为了维持人体的平衡和平衡,需要同步协调地激活躯干和下肢的姿势肌肉。姿势平衡控制不佳会导致受伤或大量人口坠落,并且被认为是常见运动技能的关键因素。单腿姿势(SLS)是在任何情况下测量姿势控制的好选择,它不仅可以通过时间测量(SLS-duration)评估静态姿势的姿势稳定性,而且还可以分析人体骨骼关节在姿势稳定性和稳定性方面的作用。更正。这种方法提供了一种快速,可靠和容易的方法来筛查患者的跌倒风险,并且可以轻松地纳入针对老年人的综合功能评估中。在此提出了一种自动不干扰系统,用于测量SLS持续时间和身体平衡。为此,进行了振动抖动分析,可以清楚地看到不同骨架关节的频率随时间变化的相对变化。整个处理是在从Kinect获得的骨骼关节数据集上完成的。使用通过Kinect设置的骨骼关节数据集代替视频,从而解决了用户隐私问题。

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