Patent ID: 8630965
Filing Date: 2014-01-14
Classification: G06F,G06N,G10L

Abstract:
1. A method for identifying a human behavior of an entity that takes place in space and time, comprising: a) receiving sensor data related to an action sequence of the entity from a pluralityof sensors that are positioned at respective nodes of a sensor network; b) interpreting the sensor data according to a grammar hierarchy to produce a current set of semantics; c) determining if a higher level grammar hierarchy exists; d) interpreting the current set of semantics according to the higher level grammar hierarchy to produce a new set of semantics, wherein the new set of semantics comprises human behaviors of the current set of semantics that are interpreted as higher order human behaviors that take place at a more macroscopic level than the scale of the human behaviors of the current set of semantics; e) identifying the new set of semantics as the current set of semantics; f) repeating steps c, d and e, until it is determined that no higher level grammar hierarchy exists; and g) outputting the current set of semantics as indicative of a particular human behavior of the entity, wherein each grammar level for each node generates outputs from the sensor data generated by each node, wherein the current set of semantics for each node is propagated across the sensor network; and wherein each grammar hierarchy level computes a set of probabilities for each human behavior such that lower level grammar hierarchies infer simple human behaviors that allow for higher level grammar hierarchies to infer higher order human behaviors that take place at a more macroscopic level.