摘要 |
Methods reduce the likelihood of an MPERS device falsely reporting a high acceleration event as a fall impact. The device stores acceleration data acquired before the high acceleration and afterward. If a number of samples of magnitude values from accelerometer sensors in the device acquired during as interval before the high acceleration that approach 0G exceeds a predetermined number, the high acceleration is deemed from a non-fall. Acceleration sensors can also indicate an orientation change before/after the high acceleration, and a barometric pressure sensor can do the same, to further characterize an event as a non-fall. A method compares current event data to composite data sets that have been determined from a plurality of empirically derived data sets of fall and non-fall events. High correlations can indicate falls, or non-falls, respectively. Further statistical analysis of data acquired after an event reduces the likelihood of falsely indicating a fall. |
主权项 |
1. A method, comprising:
receiving, by a server and from a mobile device, a plurality of accelerometer values generated by the mobile device; determining, by the server and based on the plurality of accelerometer values, a plurality of acceleration magnitude values; determining, by the server, that at least one of the plurality of acceleration magnitude values satisfies an acceleration magnitude threshold; identifying, by the server, a potential fall event at a time period based on the at least one of the plurality of acceleration magnitude values satisfying the acceleration magnitude threshold,
the plurality of acceleration magnitude values including a set of acceleration magnitude values corresponding to a set of time periods prior to the time period; determining, by the server and based on identifying the potential fall event, a quantity of the set of acceleration magnitude values that are below a free fall magnitude threshold; determining, by the server, a total free fall interval based on the quantity of the set of acceleration magnitude values that are below the free fall magnitude threshold; determining, by the server, that the total free fall interval satisfies a free fall interval threshold; determining, by the server and based on the total free fall interval satisfying the free fall interval threshold, that a non-fall event occurred; and transmitting, by the server and to a service provider device, an indication that the non-fall event occurred to indicate that the potential fall event is a false positive. |