网址

http://mocap.cs.cmu.edu/

读取工具

网页地址： http://mocap.cs.cmu.edu/tools.php

可视化工具

http://graphics.cs.cmu.edu/software/mocapPlayer.zip

Matlab 读取 AMC 文件

% Reads data from an AMC motion file into a Matlab matrix variable. 
% AMC file has to be in the AMC format used in the online CMU motion capture library.
% number of dimensions = number of columns = 62
% function D = amc_to_matrix(fname)
% fname = name of disk input file, in AMC format
% Example:
% D = amc_to_matrix(fname)
%

function [D] = amc_to_matrix(fname)


fid=fopen(fname, 'rt');
if fid == -1,
 fprintf('Error, can not open file %s.n', fname);
 return;
end;

% read-in header
line=fgetl(fid);
while ~strcmp(line,':DEGREES')
  line=fgetl(fid);
end

D=[];
dims =[6 3 3 3 3 3 3 2 3 1 1 2 1 2 2 3 1 1 2 1 2 3 1 2 1 3 1 2 1];
locations = [1 7 10 13 16 19 22 25 27 30 31 32 34 35 37 39 42 43 44 46 47 49 52 53 55 56 59 60 62];

% read-in data
% labels can be in any order
frame=1;
while ~feof(fid)
  if rem(frame,100) == 0
 disp('Reading frame: ');
 disp(frame);
  end;

  row = zeros(62,1);

  % read frame number
  line = fscanf(fid,'%sn',1);

  for i=1:29

 % read angle label
 id = fscanf (fid,'%s',1);

 switch (id)
   case 'root', index = 1;
   case 'lowerback', index = 2;
   case 'upperback', index = 3;
   case 'thorax', index = 4; 
   case 'lowerneck', index = 5; 
   case 'upperneck', index = 6; 
   case 'head', index = 7;
   case 'rclavicle', index = 8; 
   case 'rhumerus', index = 9;
   case 'rradius', index = 10;
   case 'rwrist', index = 11;
   case 'rhand', index = 12;
   case 'rfingers', index = 13;
   case 'rthumb', index = 14;
   case 'lclavicle', index = 15; 
   case 'lhumerus', index = 16;
   case 'lradius', index = 17;
   case 'lwrist', index = 18;
   case 'lhand', index = 19;
   case 'lfingers', index = 20;
   case 'lthumb', index = 21;
   case 'rfemur', index = 22;
   case 'rtibia', index = 23;
   case 'rfoot', index = 24;
   case 'rtoes', index = 25;
   case 'lfemur', index = 26;
   case 'ltibia', index = 27;
   case 'lfoot', index = 28;
   case 'ltoes', index = 29; 
 otherwise
    fprintf('Error, labels in the amc are not correct.n');
    return;
 end
 
 % where to put the data
 location = locations(index);
 len = dims(index);

 if len == 6
   x = fscanf (fid,'%f %f %f %f %f %fn',6);
 else 
   if len == 3
  x = fscanf (fid,'%f %f %fn',3);
   else 
  if len == 2
    x = fscanf (fid,'%f %fn',2);
  else 
    if len == 1
   x = fscanf (fid,'%fn',1);
    end
  end
   end
 end
 
 row(location:location+len-1,1) = x;
  end
  row = row';
  D = [D; row];
  frame = frame + 1;
end

disp('Total number of frames read: ');
disp(frame-1);

fclose(fid);
save([fname,'.mat'], 'D')

python

先调用上方的 matlab 代码读取 amc 文件并转化为矩阵，保存到 mat 文件，然后用python 读取 mat 文件

import scipy.io as scio
import os
import time

path = 'walk.amc'

while not os.path.exists(path+'.mat'):
    _ = os.system('matlab -nosplash -nojvm -nodesktop  -r "amc_to_matrix('{}'); exit"'.format(path))
    time.sleep(10)

data = scio.loadmat(path+'.mat')

import seaborn as sns
import pandas as pd

names = ['root', 'lowerback', 'upperback', 'thorax', 'lowerneck', 'upperneck',
         'head', 'rclavicle', 'rhumerus', 'rradius', 'rwrist', 'rhand', 'rfingers',
         'rthumb', 'lclavicle', 'lhumerus', 'lradius', 'lwrist', 'lhand', 'lfingers', 
         'lthumb', 'rfemur', 'rtibia', 'rfoot', 'rtoes', 'lfemur', 'ltibia', 'lfoot', 'ltoes']
dofs = [6, 3, 3, 3, 3, 3, 3, 2, 3, 1, 1, 2, 1, 2, 2, 3, 1, 1, 2, 1, 2, 3, 1, 2, 1, 3, 1, 2, 1]

col_names = []
for i,name in enumerate(names):
    for j in range(dofs[i]):
        col_names.append(name + str(j))
print(col_names)
'''
['root0', 'root1', 'root2', 'root3', 'root4', 'root5', 'lowerback0', 'lowerback1', 'lowerback2', 'upperback0', 'upperback1', 'upperback2', 'thorax0', 'thorax1', 'thorax2', 'lowerneck0', 'lowerneck1', 'lowerneck2', 'upperneck0', 'upperneck1', 'upperneck2', 'head0', 'head1', 'head2', 'rclavicle0', 'rclavicle1', 'rhumerus0', 'rhumerus1', 'rhumerus2', 'rradius0', 'rwrist0', 'rhand0', 'rhand1', 'rfingers0', 'rthumb0', 'rthumb1', 'lclavicle0', 'lclavicle1', 'lhumerus0', 'lhumerus1', 'lhumerus2', 'lradius0', 'lwrist0', 'lhand0', 'lhand1', 'lfingers0', 'lthumb0', 'lthumb1', 'rfemur0', 'rfemur1', 'rfemur2', 'rtibia0', 'rfoot0', 'rfoot1', 'rtoes0', 'lfemur0', 'lfemur1', 'lfemur2', 'ltibia0', 'lfoot0', 'lfoot1', 'ltoes0']
'''

d = data['D']
data_dict = {} # 创建数据字典，为生成Dataframe做准备
for col, ts in zip(col_names, d.T):
    data_dict[col] = ts
df = pd.DataFrame(data_dict)
df.plot(figsize=(20,20))
plt.legend(loc='upper right')

plt.figure(figsize=(20,20))
sns.heatmap(np.abs(df.corr()))

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