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Title Wavelet-based Sensor Signal Processing Technique for User Interfaces of Vehicle Window Control
Authors 민영재(Young-Jae Min)
DOI https://doi.org/10.5573/ieie.2019.56.12.51
Page pp.51-56
ISSN 2287-5026
Keywords Sensor Signal Processing ; Vehicle Window Control ; Wavelet ; Soft-threshold ;
Abstract A sensor signal processing technique for user interfaces of the vehicle window control is presented in this paper. The proposed wavelet-based sensor signal processing consists of wavelet filter banks and a user interface signal discriminator. The strength of the signal applied by the user, that is sensed according to the magnitude of the low frequency wavelet bank output signal, is transmitted to the user interface signal discriminator as a control signal. In order to improve the accuracy performance, a soft-threshold algorithm is efficiently exploited in the signal discriminator. For the practical verification and evaluation of the proposed sensor signal processing, the prototype with a piezoelectric resistance strain gauge sensor and a FPGA has been implemented. Experimental results show that the improvement of discriminant accuracy by 6.2% or more is achieved by adopting the proposed soft-threshold algorithm. With the measured accuracy over 99.3% for various user interfaces, the feasibility of the proposed sensor signal processing technology is confirmed in terms of accuracy.