Fall-down detection alarm system based on Kalman filtering and KNN algorithm and method thereof

The invention discloses a fall-down detection alarm system based on Kalman filtering and a KNN algorithm and a method thereof. The system comprises an acquisition module, a processing module, a transmission module, an identification module, a judgment module and a notification module. The acquisition module is used for acquiring three-dimensional acceleration and three-dimensional angular velocity data of the upper body part in movement of a human body. The processing module calculates resultant acceleration and resultant angular velocity through the three-dimensional acceleration and three-dimensional angular velocity data. The identification module performs classified identification on the movement state of the human body based on Kalman filtering and the KNN algorithm so as to identify the movement type of the human body. The judgment module judges whether the movement type of the human body is a "fall-down" type, and the notification module notifies the set contact persons through the set alarm manner if the judgment result is the "fall-down" type. The movement state of the human body is identified based on Kalman filtering and the KNN algorithm so that detection accuracy is high and false alarm rate is low; and the system has a communication function and can notify the relatives of the fall-down elder in real time and determine the fall-down position.