Patent ID: 9318012
Filing Date: 2016-04-19
CPC Classification: G08B,H04N

Claim Text:
1. A method for predicting a risk of a patient fall based on a plurality of fall risk states, the plurality of fall risk states defining a hierarchy of discrete fall risk states, at least one of the fall risk states being associated with an action, the method comprising: receiving a plurality of video frames from a surveillance video camera, said surveillance video camera captures a sequence of video frames of a surveillance area, wherein a patient is present in the surveillance area, each of the plurality of video frames comprising a plurality of predetermined areas; detecting a change in at least one of the plurality of predetermined areas of the current video frame of the plurality of video frames; evaluating the change detected in the at least one of the plurality of predetermined areas of the current video frame for noise; and identifying a fall risk transition to a fall risk state selected from the hierarchy of discrete fall risk states, the hierarchy of discrete fall risk states including a wait state, a no-wait state, and at least one other state, and wherein each fall risk state includes event and timing information, wherein the identification of a fall risk transition is based upon the change detected in the at least one of the plurality of predetermined areas of the current video frame.