Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Dynamic Modelling Framework for Human Hand Gesture Task Recognition   Gesture recognition and hand motion tracking are important tasks in advanced
gesture based interaction systems. In this paper, we propose to apply a sliding
windows filtering approach to sample the incoming streams of data from data
gloves and a decision tree model to recognize the gestures in real time for a
manual grafting operation of a vegetable seedling propagation facility. The
sequence of these recognized gestures defines the tasks that are taking place,
which helps to evaluate individuals' performances and to identify any
bottlenecks in real time. In this work, two pairs of data gloves are utilized,
which reports the location of the fingers, hands, and wrists wirelessly (i.e.,
via Bluetooth). To evaluate the performance of the proposed framework, a
preliminary experiment was conducted in multiple lab settings of tomato
grafting operations, where multiple subjects wear the data gloves while
performing different tasks. Our results show an accuracy of 91% on average, in
terms of gesture recognition in real time by employing our proposed framework.

33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics