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With the popularity of smart devices, how to correctly identify the elderly fall detection, has gradually become the research hot spot. However, at present about falling action recognition and detection still exist many problems. Therefore, intelligent equipment of triaxial acceleration and Angle acceleration of the sensor system acquisition, on the basis of combining forming human activity after gussied filtering signal amplitude vector (SMV) and the gyroscope signal amplitude vector (GSMV) characteristic curve and fuzzy membership function characteristics of the fall detection model, proposing a fall since detection based on fuzzy algorithm. Algorithm focuses on rapid movement, up and down the stairs, mobile phone horizontal cast and a free fall, the interference action of the fall detection are analyzed and distinguish, through experimental tests show that the algorithm has good degree of differentiation and low misjudgment ratio.