安庆师范大学学报（自然科学版）2026，Vol.32Issue(1)：81-88,8.DOI:10.13757/j.cnki.cn34-1328/n.2026.01.013
多指标驱动下自适应小波变换的下肢假肢运动意图识别
Lower Limb Prosthesis Motion Intention Recognition Based on Adaptive Wavelet Transform Driven by Multiple Indicators
摘要
Abstract
In lower limb prostheses intention recognition based on wavelet transform,the number of wavelet decomposi-tion layers is usually empirically.However,due to the significant differences in feature complexity among different action types,the fixed number of decomposition layer selected empirically is limited in extracting all motion features.Therefore,this paper proposes an adaptive wavelet transform algorithm driven by multiple indicators,which combines multiple indicators such as energy change,wavelet entropy,and peak ratio to comprehensively evaluate the characteristics of the motion signal.To address the inconsistency in feature vector dimensions caused by varying optimal numbers of decomposition layers for differ-ent actions,a feature alignment mechanism based on cubic spline interpolation is introduced,which retains the key trends of the signal while unifying the feature dimensions.Finally,support vector machines are used for classification.Experimental re-sults show that the voting strategy enhances the robustness of the decision-making of the optimal wavelet decomposition layer algorithm and effectively suppresses the influence of different actions and abnormal data on the number of decomposition lay-ers.This method can achieve a recognition rate of 96.82%in 13 comprehensive motion modes of self-collected data sets,im-proving the overall recognition rate and robustness of the model.关键词
下肢假肢意图识别/自适应小波变换层数/多指标决策/特征对齐/三次样条插值Key words
lower limb prosthesis intention recognition/adaptive wavelet transform decomposition level/multi-index分类
信息技术与安全科学引用本文复制引用
宗文杰,陈欣,刘文瑶,罗彪,苏本跃..多指标驱动下自适应小波变换的下肢假肢运动意图识别[J].安庆师范大学学报（自然科学版）,2026,32(1):81-88,8.基金项目
安徽省高校优秀科研创新团队项目(2023AH010056)和铜陵学院联合培养研究生创新基金项目(23tlcx01,24tlcb01) （2023AH010056）
