DocumentCode :
3089816
Title :
Detecting and Identifying Two Stationary-Human-Targets: A Technique Based on Bioradar
Author :
Yang, Zhang ; Xijing, Jing ; Teng, Jiao ; Zhu, Zhang ; Hao, Lv ; Jianqi, Wang
Author_Institution :
Fac. of Biomed. Eng., Fourth Mil. Med. Univ., Xi´´an, China
fYear :
2010
fDate :
17-19 Sept. 2010
Firstpage :
981
Lastpage :
985
Abstract :
Bioradar is a novel kind of radar combining the technology of radar and biomedical engineering. It can detect vital signals (such as breath, heartbeat, movement, etc.) in a certain distance through the nonmetal substances (such as brick walls, rubble, etc.) without using electrodes or sensors. However, multi-stationary-human-target identifying and locating has not been resolved yet. Based on the Ultra Wide-band (UWB) bioradar, we developed a method combining biomedical signal processing and space-frequency analysis to distinguish two stationary human subjects in different distances and to identify the location of each human subject. Experiments were done to evaluate the effectiveness of the proposed method. In 86 data sets the accuracy of distinguishing two stationary subjects reached 73%. This method may serve as a basis for further studies in developing appropriate 2-Dimension locating image reconstruction models via multi-antenna (static) UWB radar.
Keywords :
antenna arrays; biomedical engineering; image reconstruction; medical signal processing; object detection; radar target recognition; Bioradar; biomedical engineering; biomedical signal processing; electrodes; image reconstruction models; multi-antenna static UWB radar; sensors; space-frequency analysis; stationary-human-targets detection; ultra wide-band bioradar; vital signals detection; Humans; Radar antennas; Radar detection; Radar imaging; Spectrogram; Ultra wideband radar; Non-contact; UWB; detection; multi-stationary-subject; time-frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
Type :
conf
DOI :
10.1109/PCSPA.2010.242
Filename :
5635962
Link To Document :
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