Gesture Recognition Using Wireless Signals

@article{Pu2014GestureRU,
  title={Gesture Recognition Using Wireless Signals},
  author={Qifan Pu and Sidhant Gupta and Shyamnath Gollakota and Shwetak N. Patel},
  journal={GetMobile},
  year={2014},
  volume={18},
  pages={15-18}
}
FIGURE 1. Gesture sketches: WiSee can detect and classify these nine gestures in line-of-sight, non-line-of-sight, and through-the-wall scenarios with an average accuracy of 94%. A s computing moves increasingly away from the desktop, there is a growing need for new ways to interact with computer interfaces. The Xbox Kinect is an example of a commercially available input sensor that enables gesture-based interaction using depth sensing and computer vision. The commercial success of these kinds… CONTINUE READING

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Key Quantitative Results

  • WiSee can detect and classify these nine gestures in line-of-sight, non-line-of-sight, and through-the-wall scenarios with an average accuracy of 94%.
  • Our results show that WiSee can identify and classify gestures performed with a mean accuracy of 94%.

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