Motion pose capture technology can effectively solve the problem of difficulty in defining character motion in the process of 3D animation production and greatly reduce the workload of character motion control, thereby improving the efficiency of animation development and the fidelity of character motion. Motion gesture capture technology is widely used in virtual reality systems, virtual training grounds, and real-time tracking of the motion trajectories of general objects. This paper proposes an attitude estimation algorithm adapted to be embedded. The previous centralized Kalman filter is divided into two-step Kalman filtering. According to the different characteristics of the sensors, they are processed separately to isolate the cross-influence between sensors. An adaptive adjustment method based on fuzzy logic is proposed. The acceleration, angular velocity, and geomagnetic field strength of the environment are used as the input of fuzzy logic to judge the motion state of the carrier and then adjust the covariance matrix of the filter. The adaptive adjustment of the sensor is converted to the recognition of the motion state. For the study of human motion posture capture, this paper designs a verification experiment based on the existing robotic arm in the laboratory. The experiment shows that the studied motion posture capture method has better performance. The human body motion gesture is designed for capturing experiments, and the capture results show that the obtained pose angle information can better restore the human body motion. A visual model of human motion posture capture was established, and after comparing and analyzing with the real situation, it was found that the simulation approach reproduced the motion process of human motion well. For the research of human motion recognition, this paper designs a two-classification model and human daily behaviors for experiments. Experiments show that the accuracy of the two-category human motion gesture capture and recognition has achieved good results. The experimental effect of SVC on the recognition of two classifications is excellent. In the case of using all optimization algorithms, the accuracy rate is higher than 90%, and the final recognition accuracy rate is also higher than 90%. In terms of recognition time, the time required for human motion gesture capture and recognition is less than 2 s.

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The layout of wearable smart terminal micro sensor and the rehabilitation training of elbow motion function were studied. The wearable wireless sensor network system designed in this paper is mainly used to reflect the motion trajectory of patients in real-time and collect the specific physiological parameters data in the process of exercise rehabilitation. The joint reconstruction of multi-sensor data based on distributed compressed sensing optimizes the layout of smart terminal micro-sensors, and then uses kinematics simulation of elbow joint to design the terminal node of motion rehabilitation monitoring system. The system can monitor physiological information such as electromyography (EMG) signals of patients in real time, process and analyze physiological information of patients in real time, and provide basis for medical workers to formulate and adjust rehabilitation training programs, so as to improve the effect of rehabilitation training.

Long-term high-intensity training can cause a decline in immune function in athletes. In this study, we have explored whether bovine colostrum could improve the immune function in athletes undergoing intensive training. Thirty professional athletes were randomly divided into control group and bovine colostrum group; both groups received one month of intensive training. The control group received usual colostrum-free diet and the bovine colostrum group was fed bovine colostrum-rich milk every day. The venous blood was collected from both groups before and after the treatment period. The results showed that the lymphocyte population increased significantly in the bovine colostrum group compared to the control group (P < 0.05). There was no significant change in CD4+ and CD8+ in the two groups (P < 0.05), but the CD3+ and CD4+/CD8+ of the bovine colostrum group were significantly higher than those of the control group. There were significant differences in albumin, globulin and albumin/globulin ratio in the control group (P < 0.05), but not in the bovine colostrum group after training. The bovine colostrum group had lower serum albumin and albumin/globulin (P < 0.05) and higher globulin (P < 0.05) compared to the control group. There was no significant difference in immunologic indexes before and after training in both groups (P > 0.05). The decline in the markers of immune function after high-intensity training was ameliorated by the intake of bovine colostrum.