The Video Detection of Human Respiratory Motion Based on Sequential Images

Objective: Explore the feasibility of the high precision accelerometer for measuring the human respiratory displacement. Methods: A wireless acceleration acquisition system with the low power consumption and the high precision was designed with the high precision acceleration sensor ADXL355 as the core device. Based on the frequency characteristics of the breathing motion and the principle that the displacement can be calculated by the acceleration quadratic integration, two displacement measurement algorithms for the quasi-periodic weak motion are designed. Results: The simulation results show that the proposed algorithm is effective. The experimental results show that the designed acquisition system and algorithm can calculate the human respiratory displacement. Conclusion: The high precision accelerometer can be used to measure the human respiratory displacement, which provides a new method for the measurement of the human respiratory displacement.