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Recent theoretical and experimental findings suggest that biological olfactory systems utilize relative latencies or time-to-first spikes for fast odor recognition. These time-domain encoding methods exhibit reduced computational requirements and improved classification robustness. In this paper, we introduce a microcontroller-based electronic nose system using time-domain encoding schemes to achieve...
Electronic nose (EN) system based on an array of gas sensors and its recognition techniques have been widely investigated in recent decades. However, the integration of a portable EN system is not mature yet. We present an integrated EN system based on an array of gas sensor fabricated in our in-house foundry. A data acquisition technique based on a resistance-to-time conversion is proposed enabling...
This paper presents a robust gas identification technique for tin oxide (SnO2) gas sensors. The proposed technique generates a unique spike pattern or signature for each sensed gas, irrespective of its concentration. The proposed gas identification technique is insensitive to drift in the sensor baseline resistance. Furthermore, its calibration requires a single measurement to be made for each targeted...
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