A Method of Optimal Sensor Decision for Odor Recognition

Roh, Yong-Wan; Kim, Dongkyu; Kwon, Hyeong-Oh; Hong, Kwang-Seok

doi:10.1166/sl.2011.1454

Cited by 1 publication

(3 citation statements)

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“…We also studied an electronic nose using an MOS sensor array. Furthermore, in our previous works, we proposed an optimal MOS sensor decision method [4] and a floral scent recognition method using ICA with a correlation coefficient and multiple odor detection [5]. In particular, reference [5] was presented as an interim result for this study.…”

Section: Related Workmentioning

confidence: 99%

“…The odor was detected using entropy in IEEE 802.15 bluetooth-enabled mobile devices (hand-held PC, smartphone, tablet PC, etc.). The odor signals detection module in the logical part of the proposed olfaction system can be used to determine the inflection point and to monitor the abrupt changes in the sensor amplitude during the odor input and removal [4, 11]. In order to detect the inflection point of multiple odors using entropy, a sampling frequency per channel of 13.5 Hz was used.…”

Section: Proposed Olfaction System Using Stereo Sensor Arraymentioning

confidence: 99%

“…The pattern recognition-based method is based on the formulaic form of an odor signal [2, 3] and extracts an odor pattern from the odor signal. The traditional method in pattern recognition was considered to be a feature extraction method [4]. The correlation analysis-based method identifies the mutual relationships between odor substances and sensors, and it uses these relationships to recognize the odor [5, 6].…”

Section: Introductionmentioning

confidence: 99%

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Multiple Odor Recognition and Source Direction Estimation with an Electronic Nose System

Kwon

Kim

Hong

2013

International Journal of Distributed Sensor Networks

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We propose an electronic nose system that can perform real time direction estimation of an odor source and multiple odors recognition based on a stereo sensor array for extensive use in mobile environments. The proposed system consists of the following: (1) a method to obtain odor signals using a twin-sensor array, which consists of 16-channel metal oxide semiconductor sensors; (2) a method to estimate the direction of an odor source by analyzing the signal amplitude of each channel in the stereo sensor array; and (3) a method to recognize two odors simultaneously using a hierarchical elimination method. We determine the accuracy of the direction estimation of odor sources and the odor recognition rate in order to verify the performance of the multiple odors recognition method. As a result, we confirm the high estimation performance of the model for the front three-way directions, with a recognition rate of approximately two odors simultaneously.

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Section: Related Workmentioning

confidence: 99%

Section: Proposed Olfaction System Using Stereo Sensor Arraymentioning

confidence: 99%