公开(公告)号：US10330494B2

公开(公告)日：2019-06-25

申请号：US14160311

申请日：2014-01-21

Applicant: Verizon Patent and Licensing Inc.

Inventor： James Ronald Barfield ,  Stephen Christopher Welch

IPC: G01D3/036

Abstract: A wearable fall-detection device has a variety of sensors, including a pressure sensor, that provide signals for sampling environmental conditions acting on the device. An average of pressure data samples is used to determine a resultant that may indicate an amount of noise in a pressure data signal, and statistical analysis of the noise and the pressure signal average may be used to determine a confidence estimate value that indicates a level of confidence in the amount of noise that a pressure signal is subject to, or includes. The confidence estimate and known fall data, such as change in pressure between a person standing and lying, can create a threshold function that may adapt according to sampled data thus providing a customizable (either statically or dynamically) threshold function for comparing sensor data against rather than comparing data with just a linear threshold function.