Anti-falling early warning system based on multi-sensing data

The invention relates to the technical field of medical health, and particularly provides an anti-falling early warning system based on multi-sensing data, which comprises a user data entry module, a physiological pose judgment module, a falling prediction module and an anti-falling early warning module. The user data input module is used for inputting physical state information, real-time posture and physiological data and activity sensing data of a user; the activity sensing data is obtained based on various intelligent wearable devices worn by the user; the physiological posture judgment module is used for determining the current posture state of the user and determining whether posture abnormity exists or not according to the real-time posture and the physiological data; the tumble prediction module is used for responding to the posture abnormity of the user and inputting the activity sensing data corresponding to the current posture state into a tumble prediction model for tumble risk prediction; and the