Measuring and analyzing multi-dimensional sensory information for indentification purposes
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Abstract
Methods and systems are provides for measuring multi-dimensional sensing information for identification purposes. The identity of one or more substances is determined through analysis of multidimensional data that can include, among others, intrinsic information as well as extrinsic information. The method for identification of a substance comprises utilizing pattern recognition to form descriptors to identify characteristics of the substance. A system and computer program for performing analysis of the multidimensional data are also described.
38 Citations
59 Claims
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1-50. -50. (canceled)
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51. A computer system comprising:
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a) a process manager;
b) an input module coupled to the process manager for providing to a computing device a first data from a first sensing device and a second data from a second sensing device, wherein the first and second sensing devices are connected to the input module over a computer network; and
c) a pattern recognition module coupled to the process manager for processing the first and second data using a pattern recognition algorithm to classify or identify a substance. - View Dependent Claims (52, 53, 54, 55, 56, 57)
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58. A system comprising memory including a computer code product, the memory comprising:
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a) a code directed to acquiring over a computer network a first data from a first sensing device, wherein the first sensing device comprises at least one chemical, biological, or radiation sensor;
b) a code directed to acquiring over a computer network a second data from a second sensing device, wherein the second sensing device comprises at least one chemical, biological, or radiation sensor, and c) a code directed to applying a pattern recognition algorithm to the first data and second data to classify or identify a substance.
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59. A method comprising:
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a) acquiring over a computer network a first data from a first sensing device, wherein the first sensing device comprises at least one chemical, biological, or radiation sensor;
b) acquiring over a computer network a second data from a second sensing device, wherein the second sensing device comprises at least one chemical, biological, or radiation sensor;
c) storing the first data and second data in memory; and
d) applying a pattern recognition algorithm to the first data and second data to classify or identify a substance.
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Specification