Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Acoustic Sensing-based Hand Gesture Detection for Wearable Device
  Interaction   Hand gesture recognition attracts great attention for interaction since it is
intuitive and natural to perform. In this paper, we explore a novel method for
interaction by using bone-conducted sound generated by finger movements while
performing gestures. We design a set of gestures that generate unique sound
features, and capture the resulting sound from the wrist using a commodity
microphone. Next, we design a sound event detector and a recognition model to
classify the gestures. Our system achieves an overall accuracy of 90.13% in
quiet environments and 85.79% under noisy conditions. This promising technology
can be deployed on existing smartwatches as a low power service at no
additional cost, and can be used for interaction in augmented and virtual
reality applications.

20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
2
The categories of this paper are: math
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
16
The categories of this paper are: stat
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio