DocumentCode :
2943691
Title :
A reconfigurable hardware platform for cognitive sensor networks towards behavioral biometrics
Author :
Jiaqi Gong ; Lei Zhao ; Qi Hao ; Fei Hu ; Xiaoyan Hong
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alabama, Tuscaloosa, AL, USA
fYear :
2012
fDate :
28-31 Oct. 2012
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a design of reconfigurable hardware platform for wireless sensor networks to achieve high flexibility and robustness in system operation and resource utilization. The goal of this research is to develop a new type of sensor networks with cognitive features (e.g., context awareness and situation understanding) such that human behavioral biometrics can be measured through distributed low-cost sensors. The proposed reconfigurable hardware platform can adjust its sensing and computing resources with respect to changing contexts and situations. It includes three components: (1) reconfigurable analog circuit for adaptive sensor conditioning, (2) reconfigurable ADC for maintaining high signal-to-noise ratio, and (3) FPGA based reconfigurable computing for situation understanding. In behavioral biometrics applications, such a reconfigurable platform can automatically change circuit parameters, ADC resolutions, filter coefficients, and algorithms according to application contexts and situations derived from sensory signal features. As a result, the sensing system can be adaptive to various behavioral biometrics applications with high fidelity and accuracy. Experimental results have demonstrated the advantages of the proposed hardware platform.
Keywords :
cognitive radio; ubiquitous computing; wireless sensor networks; circuit parameters; cognitive sensor networks; context awareness; distributed low-cost sensors; human behavioral biometrics; reconfigurable hardware platform; resource utilization; system operation; wireless sensor networks; Biometrics (access control); Computer architecture; Hardware; Humans; Registers; Sensors; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2012 IEEE
Conference_Location :
Taipei
ISSN :
1930-0395
Print_ISBN :
978-1-4577-1766-6
Electronic_ISBN :
1930-0395
Type :
conf
DOI :
10.1109/ICSENS.2012.6411067
Filename :
6411067
Link To Document :
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