Analysis Of Human Movement Information And Method Of Balance Function Evaluation

Human walking is the comprehensive expression of the movement intention and motion state,and the primary characteristic is to keep the dynamic stability which impacted mainly by the visual system,proprioceptive sense,and vestibular system.How to evaluate the balance function accurately and effectively is an urgent problem in current communities of the sport science and rehabilitation engineering.Therefore,it has practical significance to conduct an objective evaluation of the human motion balance by selecting the appropriate analytical methods.Major contributions of this dissertation are as follows.Firstly,to reduce the noise-signal ratio,the algorithm of the wavelet modulus maxima is chosen to preprocess and de-noise the acceleration signals after analyzing the noises in the raw data.The results show that the signal processing is useful for subsequence feature extraction and gait indicator calculation.Secondly,for the characteristics of the body acceleration signals in static standing,a multi-scale entropy(MSE)algorithm,as the measurement of the acceleration's signal complexity,is introduced to classify different standing states.The results demonstrate that with the increase of scale,the curves of the MSE tend to stability and exhibit the obvious discrimination,which can better identify the separate classification for human standing status.Thirdly,for the characteristics of the body acceleration signals in dynamic walking,an unbiased autocorrelation function algorithm is introduced to calculate the measurement of the gait symmetry and regularity,which can be expressed as the index of the gait stability.In addition,the analysis of variance was also utilized to present the gait index.The results show that single and interaction effect was existed between visual system and proprioceptive sense.Moreover,the visual system effect was more noticeable for the gait stability.Finally,for the characteristics of the foot acceleration signals,a method based on regression curve is introduced to calculate the trend symmetry index,which can be expressed as the measurement of feet symmetry in both sides.The results show that the gait velocity has more influence in human dynamic balance than the visual system and the proprioceptive sense.The works of this dissertation include two aspects.In the analysis of human motion information,motion features were extracted to calculate the balance index by using the quantitative method.In the evaluation of balance function,the evaluation accuracy was improved by using the quantitative index combined with medical evaluation method.These works have an important application in the fields of athletic training,rehabilitation medicine,and human computer interaction system.