Improvement of odor recognition chip

Author

Nakamoto, Takamichi ; Oza, Toru ; Shibata, Yoshihiko

Author_Institution

Graduate Sch. of Sci. & Eng., Tokyo Inst. of Technol., Japan

Volume

2

fYear

2003

fDate

22-24 Oct. 2003

Firstpage

1203

Abstract

Since a handheld odor-sensing system with high computation capability for a neural network is required for the field measurement, a digital LSI called an odor recognition chip with the neural network was developed In our circuit, the data are expressed as 1-bit data stream with delta-sigma modulation to reduce the amounts of circuit and wiring. The LVQ (Learning Vector Quantization) circuit was designed using that technique. The experimental result revealed that the chip recognized the odors almost correctly even if the sensor responses were remarkably changed due to the air turbulence.

Keywords

chemioception; delta-sigma modulation; gas sensors; pattern recognition; 1-bit data stream; Learning Vector Quantization; air turbulence; circuit; delta-sigma modulation; digital LSI; handheld odor-sensing system; high computation capability; odor recognition chip; sensor responses; wiring; Counting circuits; Data engineering; Delta modulation; Delta-sigma modulation; Digital circuits; Educational institutions; Neural networks; Semiconductor device measurement; Sensor arrays; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensors, 2003. Proceedings of IEEE

Print_ISBN

0-7803-8133-5

Type

conf

DOI

10.1109/ICSENS.2003.1279136

Filename

1279136