Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Gait Change Detection Using Parameters Generated from Microsoft Kinect
  Coordinates   This paper describes a method to convert Microsoft Kinect coordinates into
gait parameters in order to detect a person's gait change. The proposed method
can help quantify the progress of physical therapy. Microsoft Kinect, a popular
platform for video games, was used to generate 25 joints to form a human
skeleton, and then the proposed method converted the coordinates of selected
Kinect joints into gait parameters such as spine tilt, hip tilt, and shoulder
tilt, which were tracked over time. Sample entropy measure was then applied to
quantify the variability of each gait parameter. Male and female subjects
walked a three-meter path multiple times in initial experiments, and their
walking patterns were recorded via the proposed Kinect device through the
frontal plane. Time series of the gait parameters were generated for subjects
with and without knee braces. Sample entropy was used to transform these time
series into numerical values for comparison of these two conditions.

6
The categories of this paper are: astro-ph
1
The categories of this paper are: cs
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
21
The categories of this paper are: adap-org