该博客展示了如何利用高斯混合模型（GMM）对肌电信号进行建模和识别。通过EM算法初始化并训练GMM，然后对不同动作和重复次数的数据进行识别，计算准确率。
%GMM for glove
% clc;
% clear;
%--------------load data---------------------
load glove_grasp_6_13_20_100points.mat
Odata = glove_grasp_6_13_20;
[subjectnum, motionnum, repnum] = size(Odata);
totaltimeused = 0;
% allresult = zeros(subjectnum,motionnum);
% allrate = zeros(1,19);
%%--------------------------------------------
%%
for modelnum = 1:1
for subject = 1:6
for motion = 1:motionnum
tstart1 = tic;
nbStates = 10;
%%---------------modeling---------------------
data4model = [];
for i = 1:modelnum
% clc;
% clear;
%--------------load data---------------------
load glove_grasp_6_13_20_100points.mat
Odata = glove_grasp_6_13_20;
[subjectnum, motionnum, repnum] = size(Odata);
totaltimeused = 0;
% allresult = zeros(subjectnum,motionnum);
% allrate = zeros(1,19);
%%--------------------------------------------
%%
for modelnum = 1:1
for subject = 1:6
for motion = 1:motionnum
tstart1 = tic;
nbStates = 10;
%%---------------modeling---------------------
data4model = [];
for i = 1:modelnum
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