Zhao Heng, Gao Xiaomeng, Jiang Xiaonan, Hong Hong, Liu Xiaoguang
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:4183-4186. doi: 10.1109/EMBC44109.2020.9176852.
In this paper, a non-contact respiration detection scheme based on Doppler radar-depth camera sensor fusion has been proposed. A continuous-wave (CW) Doppler radar sensor and a depth camera are used to measure the respiratory motion separately. Then the Bayesian sensor fusion algorithm is used to estimate the cycle-to-cycle breathing rate. The experiments prove that the proposed fusion scheme can provide an accurate breathing rate estimation than using a single sensor. In particular, the proposed scheme can give a reasonable estimation even under the influence of body movement.
本文提出了一种基于多普勒雷达-深度相机传感器融合的非接触式呼吸检测方案。使用连续波（CW）多普勒雷达传感器和深度相机分别测量呼吸运动。然后采用贝叶斯传感器融合算法来估计逐周期呼吸率。实验证明，所提出的融合方案比使用单一传感器能提供更准确的呼吸率估计。特别是，即使在身体运动的影响下，所提出的方案也能给出合理的估计。
