An adaptive decision tree fall detection method and system
A detection method and decision tree technology, applied in the direction of neural learning methods, instruments, biological models, etc., can solve the problem that it is difficult to collect fall samples, etc., and achieve the effect of high accuracy and small amount of calculation
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[0056] (1) Data acquisition
[0057] The fall detection device uses MPU6050 as an attitude sensor to collect the wearer's triaxial acceleration and triaxial angular velocity data. The data is transmitted to the local computer through the WiFi module or to the network server through the SIM card module. The fall detection device is convenient to carry, has a buckle and can be hung on the belt of trousers, and can also be attached to a pocket or clothes.
[0058] Under normal circumstances, the duration of the falling action will not exceed 0.5 seconds. At the same time, considering that the wearer will remain basically stationary if an accidental fall occurs, the data of 1 second before and 4 seconds after the falling action are collected as samples. The data sampling rate is 100Hz, that is, 100 pieces of triaxial acceleration and triaxial angular velocity data are collected per second. The action of falling itself is a relatively dangerous action, which is likely to cause in...
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