This paper focuses on the design of badminton robots, and designs high-precision binocular stereo vision synchronous acquisition system hardware and multithreaded acquisition programs to ensure the left and right camera exposure synchronization and timely reading of data. Aiming at specific weak moving targets, a shape-based Brown motion model based on dynamic threshold adjustment based on singular value decomposition is proposed, and a discriminative threshold is set according to the similarity between the background and the foreground to improve detection accuracy. The three-dimensional trajectory points are extended by Kalman filter and the kinematics equation of badminton is established. The parameters of the kinematics equation of badminton are solved by the method of least squares. Based on the fractal Brownian motion algorithm, a real-time robot pose estimation algorithm is proposed to realize the real-time accurate pose estimation of the robot. A PID control model for the badminton robot executive mechanism is established between the omnidirectional wheel speed and the robot’s translation and rotation movements to achieve the precise movement of the badminton robot. All the algorithms can meet the system’s requirements for real-time performance, realize the badminton robot’s simple hit to the ball, and prospect the future research direction.

BACKGROUND: Health is no longer simply limited to the absence of pain but a state of physical and psychological integrity that adapts to the social environment. People’s understanding of poverty has expanded from simply emphasizing income and consumption to many fields. OBJECTIVE: The research is made to understand the relationship between poverty and health effectively, indeed find out the factors affecting the health of the rural population in poverty, and establish a sound health risk assessment system for the rural population in poverty. METHODS: The influencing factors of the rural population in poverty’s health are analyzed by using the psychology, economics, statistics, and behavior science, the health risk management model of the rural population in poverty is proposed, and the effectiveness of the method proposed is further verified combined with specific case data. RESULTS: The rural population in poverty have higher health needs, but because of the cost, it is difficult to get effective treatment, and the prevalence rate and chronic diseases are also significantly higher than those of non-poor people. When the proportion of health expenditure in the total family income exceeds 20%, there will be excessive health economic risk; 69.3%of the families in poverty use the means of borrowing, and the significant characteristic of the intensity of negative health events in families in poverty is that they have more expenditure and income. CONCLUSION: The health risk management model of the rural population in poverty proposed can comprehensively analyze the risk problems faced by the rural population in poverty, which can create a theoretical basis for the practice mode of health risk management of rural families in poverty.