Wearable system and method for fall risk assessment

The invention discloses a wearable system and method for fall risk assessment. The system comprises an inertial sensor module which is composed of a wearable micro accelerometer and a wearable gyroscope and is used for collecting acceleration and pitch angle information when a human body moves; the upper computer processing module is used for receiving the acceleration information and the pitch angle information and displaying related information to a user; and the data processing module is used for converting the acceleration and pitch angle information into input data of a tumble risk assessment model, and operating the model to calculate the tumble risk degree. The tumble risk assessment model is based on a machine learning algorithm, and the tumble risk assessment model based on a machine learning classifier is constructed by training acceleration and pitch angle data from different people with tumble risks. And inputting the acceleration data when the user moves into the model, and outputting the fall ri