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Minghe Cao, Jianzhong Wang. Head Motion Detection in Gaze Based Aiming[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2020, 29(1): 9-15. doi: 10.15918/j.jbit1004-0579.19106
Citation: Minghe Cao, Jianzhong Wang. Head Motion Detection in Gaze Based Aiming[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2020, 29(1): 9-15.doi:10.15918/j.jbit1004-0579.19106
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Head Motion Detection in Gaze Based Aiming

doi:10.15918/j.jbit1004-0579.19106

  • School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2019-11-27
    Abstract
  • Unmanned weapons have great potential to be widely used in future wars. The gaze-based aiming technology can be applied to control pan-tilt weapon systems remotely with high precision and efficiency. Gaze direction is related to head motion, which is a combination of head and eye movements. In this paper, a head motion detection method is proposed, which is based on the fusion of inertial and vision information. The inertial sensors can measure rotation in high-frequency with good performance, while vision sensors are able to eliminate drifts. By combining the characteristics of both sensors, the proposed approach achieves the effect of high-frequency, real-time, and drift-free head motion detection. The experiments show that our method can smooth the outputs, constrain drifts of inertial measurements, and achieve high detection accuracy.
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