Title :
A signal component analyzing method of physiological information for automotive safety
Author_Institution :
Grad. Sch. of Inf., Waseda Univ., Tokyo, Japan
Abstract :
To meet the challenges of physiological information analysis for automotive safety, a signal component analyzing system is proposed with two core features, multi-frequency sampling and adaptive filter based on multi-dimension particle swarm optimization. The simulation results presents that the proposed system can successfully extract useful physiological signal and trace the real signal changing with a superior antialiasing performance.
Keywords :
adaptive filters; automotive engineering; body sensor networks; information analysis; particle swarm optimisation; adaptive filter; automotive safety; multidimension particle swarm optimization; multifrequency sampling; physiological information analysis; signal component analyzing method; Adaptive filters; Automotive engineering; Biomedical monitoring; Frequency response; Information filters; Physiology;
Conference_Titel :
Consumer Electronics (ICCE), 2014 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-1290-2
DOI :
10.1109/ICCE.2014.6776005
