Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Frequency based Classification of Activities using Accelerometer Data   This work presents, the classification of user activities such as Rest, Walk
and Run, on the basis of frequency component present in the acceleration data
in a wireless sensor network environment. As the frequencies of the above
mentioned activities differ slightly for different person, so it gives a more
accurate result. The algorithm uses just one parameter i.e. the frequency of
the body acceleration data of the three axes for classifying the activities in
a set of data. The algorithm includes a normalization step and hence there is
no need to set a different value of threshold value for magnitude for different
test person. The classification is automatic and done on a block by block
basis.

36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int