Patent ID: 9710761
Date: 2017-07-18
CPC Classifications: G06F,G06N,G16H,G16Z

Claim:
1. A computer-implemented process for detecting and predicting events occurring to a person, comprising the steps of: receiving a first plurality of readings for location, orientation, velocity, and time of observation of a body part; applying a first statistical test to earliest readings in the first plurality of readings; applying the first statistical test to all later readings in the first plurality of readings; identifying at least one first cluster of n-dimensional behavior vectors as normal behavior from the earliest readings in the first plurality of readings, or in the earliest and in later readings in the first plurality of readings, or all of the first plurality of readings; collecting a second plurality of readings for location, orientation, velocity, and time of observation of the body part; constructing at least one second cluster of n-dimensional behavior vectors by applying the at least one first statistical test to the second plurality of readings; applying a second statistical test to determine if a deviation exists between the first plurality of readings and the second plurality of readings; determining whether an abnormal behavior exists with respect to at least one of the at least two parameters from the at least one first cluster of n-dimensional behavior vectors and the at least one second cluster of n-dimensional behavior vectors; and adding at least one reading making up the at least one second cluster of n-dimensional behavior vectors in chronological order to the latest reading making up the at least one first cluster of n-dimensional behavior vectors to thereby form the at least one first cluster of n-dimensional behavior vectors identified as normal behavior prior to collecting a new second plurality of readings.