Method of fall detection based on multi-sensor fusion

Abstract

The invention relates to a multisensor fusion based fall detection system and method. The system comprises a plantar pressure detection subsystem and a human gesture detection subsystem; the plantar pressure detection subsystem comprises a plurality of force sensors, a first single chip microcomputer and a first wireless communication module; the human gesture detection subsystem comprises an acceleration sensor, an angle sensor, a second wireless communication module and a second single chip microcomputer. By the system and method, the status of a human can be judged effectively, and the multisensor fusion technique is combined to analyze whether a human falls or not; by rational layout of the force sensors, acquired pressure values can rationally reflect the center-of-gravity state of the human, and after center-of-gravity distribution of the human is correctly grasped, the three-axis acceleration sensor of the chest and a gyroscope are combined to more accurately judge whether the human falls or not; misjudgment rate is lowered, user privacy is protected, power consumption and cost are lowered, and the system and method is applicable to large-scale popularization and application.

Description

technical field [0001] The present invention relates to the technical field of sensors, in particular to the technical field of fall detection, in particular to a method of fall detection based on multi-sensor fusion. Background technique [0002] Multi-sensor information fusion technology can enhance the viability of the system, improve the reliability of the entire system, enhance the credibility of the data, and improve the accuracy in solving problems such as detection and tracking. Based on the advantages of multi-sensor fusion, the application of multi-sensor fusion technology in fall detection can reduce the misjudgment rate of current fall detection, thereby achieving more accurate fall protection. The current methods for detecting and judging whether the fall system has fallen generally include: wearable fall detection, which generally wears the acceleration sensor data acquisition module on the chest, and when the acceleration reaches the fall threshold, it is judg...

AI Technical Summary

Problems solved by technology

[0008] The present invention provides a method of fall detection based on multi-sensor fusion, and its purpose is to overcome the defects of the single function of the fall detection system in the prior art and the high rate of fall misjudgment or missed judgment, improve the accuracy of fall detection and reduce the cost

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