Detection and classification of human body odor using an electronic nose.
Detection and classification of human body odor using an electronic nose.
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DOI：
10.3390/s90907234
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Kerdcharoen T
中科院分区：
文献类型：
--
作者：
Wongchoosuk C;Lutz M;Kerdcharoen T
电子鼻（E-nose）已被设计并配备了可以检测和分类人体腋臭体味的软件。一系列金属氧化物传感器用于检测挥发性有机化合物。测量电路采用分压电阻来测量每个传感器的灵敏度。该电子鼻由内部开发的软件通过便携式 USB 数据采集卡进行控制，并采用主成分分析 (PCA) 算法进行模式识别和分类。由于气体传感器在腋臭样本检测中的灵敏度受到湿度的影响，我们提出了一种结合硬件/软件的新方法和算法来校正湿度噪声。经过湿度校正后，电子鼻表现出检测人体气味的能力，并以相对方式区分两个人的体味。即使使用除臭剂后，电子鼻仍然能够识别人。综上所述，这是电子鼻应用于腋臭识别的第一份报告。
An electronic nose (E-nose) has been designed and equipped with software that can detect and classify human armpit body odor. An array of metal oxide sensors was used for detecting volatile organic compounds. The measurement circuit employs a voltage divider resistor to measure the sensitivity of each sensor. This E-nose was controlled by in-house developed software through a portable USB data acquisition card with a principle component analysis (PCA) algorithm implemented for pattern recognition and classification. Because gas sensor sensitivity in the detection of armpit odor samples is affected by humidity, we propose a new method and algorithms combining hardware/software for the correction of the humidity noise. After the humidity correction, the E-nose showed the capability of detecting human body odor and distinguishing the body odors from two persons in a relative manner. The E-nose is still able to recognize people, even after application of deodorant. In conclusion, this is the first report of the application of an E-nose for armpit odor recognition.
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