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
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