Patent Document ID: 7531137
Application ID: 10836769
Patent Status: 1

Claim One:
1. A substance detection system comprising: an electronic nose; a feature extraction module connected to the electronic nose; a data synthesis module connected to the feature extraction module; a classification module connected to the data synthesis module; and a decision criteria module connected to the classification module; wherein the classification module comprises a support vector machine the feature extraction module provides a smellprint to the data synthesis module; the smellprint comprises a final activation and initial response data; the output classification module has an output for classification results; the decision criteria module is for filtering the classification results; and wherein feature extraction module comprises: a baseline flag; a baseline resistance processor having a first input from the electronic nose and a second input from the baseline flag; a fractional normalizer having a first input from the electronic nose and a second input from the baseline resistance; a filter having an input connected to the fractional normalizer; a gradient indicator having an input connected to the filter; a steady-state period indicator at the baseline purge having an input connected to the baseline flag; a sample draw flag; a transient period indicator at sample draw having an input connected to the sample draw flag; an indicator of average or absolute variation at baseline having a first input connected to the steady-state period indicator at baseline purge and a second input connected to the gradient indicator; an indicator of maximum absolute variation at initial response having a first input connected to the transient period indicator at sample draw and having a second input connected to the gradient indicator; a relative variation processor having a first input connected to the indicator of average of absolute variation at baseline and a second input connected to the indicator of maximum absolute variation at initial response; a vector normalizer having an input connected to the relative variation processor; and an initial response feature vector indicator having an input connected to the vector normalizer and an output connected to the data synthesis module.