PRISONER TRACKING AND WARNING SYSTEM AND CORRESPONDING METHODS
First Claim
1. A method of monitoring and learning a subject'"'"'s behavior comprising the acts of:
- a) creating and storing in a memory of a monitoring station computer a first file including reference behavior data defining several classes of individuals to be monitored, including at least one class to which the subject belongs;
b) creating and storing in the monitoring station computer memory a second file including behavior data defining the subject to be monitored;
c) defining and programming the monitoring station computer with data defining a set of allowed activities for each of the several classes of individuals to be monitored;
d) defining and programming the monitoring station computer with data defining a set of allowed activities that are specific for the subject to be monitored, wherein the allowed activities include predefined routes and times of travel in a location remote from the monitoring station computer;
e) attaching a remote monitoring transmitter and receiver to the subject, wherein the receiver cooperates with a satellite global positioning system to determine the subject'"'"'s current location as the subject moves about in the area located remote from the monitoring station computer;
f) periodically transmitting data defining the subject'"'"'s location at a specific time from the remote monitoring transmitter and receiver to the monitoring station computer;
g) computer analyzing the data transmitted from the remote monitoring transmitter by comparing the data defining the subject'"'"'s current location and time with the set of allowed activities that are specific for the subject and determining if there are any variations from the allowed activities;
h) generating a first alarm signal defining any determined variation from the allowed activities;
i) further analyzing the first alarm signal defining the determined variation from the allowed activities using an expert system programmed to recognize a continuum of degrees of alarms based on a comparison of the determined variation, the behavior data defining the subject to be monitored, and the reference behavior data defining the class of individuals to which the subject belongs; and
j) generating from the expert system a second alarm signal defining a specific recommended course of action that is appropriate for the determined variation, the subject'"'"'s specific behavior data, and the data defining the class of individuals to which the subject belongs.
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Accused Products
Abstract
The present invention discloses a general overall system 30 and a general overall method 10 for tracking, monitoring, and learning prisoner or parolee behavior. The system 30 and method 10 involve obtaining prisoner or parolee data and monitoring data for at least one individual prisoner or parolee 38, storing the prisoner or parolee data and monitoring data into a database, learning prisoner or parolee behavior from the prisoner or parolee data and the monitoring data in the database, and updating the prisoner or parolee data and the monitoring data in the database. The present invention involves learning both individual and aggregate prisoner or parolee behavior from the prisoner or parolee data and the monitoring data in the database. The present invention executes expert system (i.e. including but not limited to fuzzy logic, reinforcement learning, neural networks, artificial intelligence, etc.) algorithms for determining and analyzing deviated behavior by the prisoner or parolee 38. The present invention system 30 and method 10 is able to assign a parole level to the prisoner or parolee 38 and determine whether the prisoner or parolee 38 is to be moved up or down a parole level depending on whether the prisoner or parolee behavior does not constitute or does constitute prisoner or parolee violations. Furthermore, the present invention tracks, monitors, and learns the behavior of the prisoner or parolee 38 by controlling and regulating the permitted/prohibited locations or sectors, the permitted/prohibited location or sector dwell times, the permitted/prohibited travel routes, the permitted/prohibited travel times that the prisoner or parolee 38 spend at or between various locations.
86 Citations
33 Claims
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1. A method of monitoring and learning a subject'"'"'s behavior comprising the acts of:
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a) creating and storing in a memory of a monitoring station computer a first file including reference behavior data defining several classes of individuals to be monitored, including at least one class to which the subject belongs;
b) creating and storing in the monitoring station computer memory a second file including behavior data defining the subject to be monitored;
c) defining and programming the monitoring station computer with data defining a set of allowed activities for each of the several classes of individuals to be monitored;
d) defining and programming the monitoring station computer with data defining a set of allowed activities that are specific for the subject to be monitored, wherein the allowed activities include predefined routes and times of travel in a location remote from the monitoring station computer;
e) attaching a remote monitoring transmitter and receiver to the subject, wherein the receiver cooperates with a satellite global positioning system to determine the subject'"'"'s current location as the subject moves about in the area located remote from the monitoring station computer;
f) periodically transmitting data defining the subject'"'"'s location at a specific time from the remote monitoring transmitter and receiver to the monitoring station computer;
g) computer analyzing the data transmitted from the remote monitoring transmitter by comparing the data defining the subject'"'"'s current location and time with the set of allowed activities that are specific for the subject and determining if there are any variations from the allowed activities;
h) generating a first alarm signal defining any determined variation from the allowed activities;
i) further analyzing the first alarm signal defining the determined variation from the allowed activities using an expert system programmed to recognize a continuum of degrees of alarms based on a comparison of the determined variation, the behavior data defining the subject to be monitored, and the reference behavior data defining the class of individuals to which the subject belongs; and
j) generating from the expert system a second alarm signal defining a specific recommended course of action that is appropriate for the determined variation, the subject'"'"'s specific behavior data, and the data defining the class of individuals to which the subject belongs. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
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Specification