Abstract: A method in which an electronic device that has one or more movement sensors and a computer processor may detect events in a way that is convenient for daily use by a person. A behavior detection mode may be activated when the electronic device is physically attached to the torso of the person wherein the electronic device may be disposed in a special article (e.g. an article of manufacture, article of clothing, etc.) designed to be attached to the torso of the person so that it activates a behavior detection mode.

Abstract: A computer-implemented process for detecting and predicting events occurring to a person, includes: observing, using a sensor, a reading of a parameter of a body part of the person which is one of: horizontal location, vertical height, orientation, velocity, and time of observation, wherein the reading corresponds to less information than needed to define the person's posture; receiving the reading into a computer memory; determining from the received reading a pattern of behavior; detecting a change in behavior; identifying from the change in behavior a combination of one or more readings corresponding to an abnormal event; and producing an alert signal when the combination of one or more readings corresponding to the abnormal event is identified. The process may be practiced using a computing machine including a computer memory; a sensor; and a computer processor.

Abstract: A method in which an electronic device that has one or more movement sensors and a computer processor may detect events in a way that is convenient for daily use by a person. A behavior detection mode may be activated when the electronic device is physically attached to the torso of the person wherein the electronic device may be disposed in a special article (e.g. an article of manufacture, article of clothing, etc.) designed to be attached to the torso of the person so that it activates a behavior detection mode.

Abstract: Behavior modeling includes how to detect and/or predict events based on observed changes in behavior. Detection of behavior that indicates possible adverse health events is performed by remote observation of a person's behavior. Captured data is correlated with an appropriate person, without identifying the person. People are associated with objects/locations, in the environment based on how the people relate to those objects/locations. Thus, people are identified based on their body characteristics or movement. Person specific data captured is labeled with unique identifiers. The location of certain objects/locations is correlated with the behavior profile to capture and analyze a nested pattern within a larger behavior pattern. Next to certain objects, certain types of behaviors/movements are expected. However, if the movement at a determined point in time deviates significantly from “normal” behavior patterns, such deviation may be an indication that something is wrong.

Abstract: A computer-implemented process for detecting and predicting events occurring to a person, includes: observing, using a sensor, a reading of a parameter of a body part of the person which is one of: horizontal location, vertical height, orientation, velocity, and time of observation, wherein the reading corresponds to less information than needed to define the person's posture; receiving the reading into a computer memory; determining from the received reading a pattern of behavior; detecting a change in behavior; identifying from the change in behavior a combination of one or more readings corresponding to an abnormal event; and producing an alert signal when the combination of one or more readings corresponding to the abnormal event is identified. The process may be practiced using a computing machine including a computer memory; a sensor; and a computer processor.