Title :
A microcontroller based integrated multifunction sensor using piezoresistive element
Author :
Basu, Rohini ; Das Adhikari, Saikat ; Kundu, Pratim
Author_Institution :
Dept. of Electron. & Instrum. Eng., Future Inst. of Eng. & Manage., Kolkata, India
fDate :
Jan. 31 2014-Feb. 2 2014
Abstract :
A novel attempt is made to develop a suitable algorithm for embedded platforms to process the electrical output signal from a multifunctional piezoresistive sensor to extract the pressure and temperature components, separately. The output response of piezoresistive material is a function of both pressure and temperature variables. General Regression Neural Network (GRNN) and Multiple Linear Regression (MLR) implementation have been used to calculate these different sensing variables from the aggregated output response of the sensor. The algorithm is prototyped and tested in ARM7 TDMI platform (NXP LPC2148 microcontroller), giving results with moderate accuracy.
Keywords :
computerised instrumentation; intelligent sensors; microcontrollers; microsensors; neural nets; piezoresistive devices; pressure measurement; pressure sensors; regression analysis; temperature measurement; temperature sensors; ARM7 TDMI platform; GRNN; MLR; NXP LPC2148 microcontroller; electrical output signal processing; embedded platform algorithm; general regression neural network; microcontroller based integrated multifunction sensor; multifunctional piezoresistive sensor element; multiple linear regression; piezoresistive material; pressure component extraction; temperature component extraction; Equations; Linear regression; Mathematical model; Neurons; Temperature measurement; Temperature sensors; Training data; General Regression Neural Network; Multifunction sensor; Multiple linear regression;
Conference_Titel :
Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
Conference_Location :
Calcutta
DOI :
10.1109/CIEC.2014.6959061
