Automatic Analysis Systems For Mouse Behavior

In most mammals there is basically spontaneous activity and social behavior and other characteristics.Since the behavior and activity of mice can reflect quantitatively the response of mice to the external environment and drugs.Therefore,the statistical information of spontaneous activities and social behaviors is of great significance to the fields of biomedicine.Early studies on animal behavior mainly rely on artificial markers,which will lead to repeated labeling for most of the time of the experiment.Moreover,artificial markers are subjective and biased to some extent,and it is difficult to quantify the parameters.In recent years,with the development of computer vision and graphics technology,great progress has been made in the automatic detection and recognition of mouse monitoring and activity behavior.The behavior and activity of video mice can be automatically processed by image processing.After more than 10 years of continuous improvement and improvement,neural network model has made a breakthrough in image recognition,natural language processing,video processing and other convenience.In this paper,the traditional image preprocessing method and YOLO model were combined to automate the processing of video information of the mice’s movement and behavior.Segmentation algorithm was used to extract the contour information of mice,and integrate and judge the behaviors of mice through the information of body parts of mice.VOR and mouse circle experiments were used to quantitatively analyze vestibular injuries in mice.And optimize the program,let the program parallel processing,greatly increased the speed of processing.In this way,the experimental results can be obtained in a very short time under the condition of large processing capacity,which speeds up the experimental process.The difference between mice in the dark environment and the normal environment was used to evaluate the mice’s response to different environments.The extent of autism was determined by the range of motion and time spent alone in both the autistic and normal mice.Through the above comprehensive methods,the spontaneous and group behaviors of normal mice and sick mice can be quantitatively analyzed,so as to provide more accurate and objective data evidence for the experimental results.