DocumentCode
626221
Title
Development of Microcontroller Based Potentiometric Indicator System for Piezoresistive MEMS Sensor
Author
Abdullah, Mohd Faris ; Adnan, Muhammad Abdullah ; Aziz, M.G.A. ; Madzhi, Nina Korlina
Author_Institution
Fac. of Electr. Eng., UiTM Pulau Pinang, Shah Alam, Malaysia
fYear
2013
fDate
5-7 June 2013
Firstpage
155
Lastpage
159
Abstract
This paper presents the development of microcontroller based potentiometric indicator system for integration with piezoresistive MEMS sensor. The purpose system involved the integration between hardware and software subsystem. For hardware subsystem, the design of potentiometric circuit was tested using P-spice software and breadboard circuit. Then, the design was fabricated for printed circuit board. This finding was then used to develop interface for the analog-to-digital converter. For software subsystem, the stress level indicator system has been developed using PIC 16F873 by converting the output from potentiometric circuit into stress level with a look-up table based on fuzzy rule sets for measuring human stress. It computes the digital data conversion into desired reading and displays data through the second hardware subsystem which is liquid crystal display. From the experiment, a potentiometric indicator circuit designed for piezoresistive MEMS sensor for human stress was successfully developed.
Keywords
SPICE; analogue-digital conversion; computerised instrumentation; fuzzy set theory; liquid crystal displays; microcontrollers; microfabrication; microsensors; piezoresistive devices; printed circuit design; table lookup; PIC 16F873; PSPICE software; analog-to-digital converter; breadboard circuit; digital data conversion; fuzzy rule sets; hardware subsystem; human stress measurement; liquid crystal display; look-up table; microcontroller based potentiometric indicator circuit system; piezoresistive MEMS sensor; printed circuit board design; second hardware subsystem; software subsystem; Biosensors; Hardware; Microcontrollers; Micromechanical devices; Piezoresistance; Software; Stress; Fuzzy; Piezoresistive MEMS sensor; Potentiometric; Stress; microcontroller;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence, Communication Systems and Networks (CICSyN), 2013 Fifth International Conference on
Conference_Location
Madrid
Print_ISBN
978-1-4799-0587-4
Type
conf
DOI
10.1109/CICSYN.2013.61
Filename
6571358
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