首页|Malicious odor item identification using an electronic nose based on support vector machine classification
Malicious odor item identification using an electronic nose based on support vector machine classification
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The aim of this study is to develop an electronic nose for identifying the spoiled meat stocked inside a refrigerator。 Electronic nose analyses the samples of beef and fish and applies a classifier named support vector machine (SVM) to identify the meat creating malodor。 To evaluate， the experiment is performed for a week。 The results indicate that SVM classifier exhibits good generalization performance and enable accuracy rate of almost 94。5 % for both beef and fish。 This means that SVM is an effective pattern classification technique for spoiled meat identification using electronic nose。
ul Hasan, Najam、Ejaz, Naveed、Ejaz, Waleed、Kim, Hyung Seok
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Department of Information and Communication Engineering, Sejong University, Seoul, Republic of Korea
IEEE Global Conference on Consumer Electronics;IEEE GCCE 2012
Tokyo(JP);Tokyo(JP)
2012 IEEE 1st Global Conference on Consumer Electronics.
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