Classification of Human Postures Using Ultra-Wide Band Radar Based on Neural Networks

被引：0

作者：

Kiasari, Mohammad Ahangar ^{[1
]}

Na, Seung You ^{[1
]}

Kim, Jin Young ^{[1
]}

机构：

[1] Chonnam Natl Univ, Dept Elect & Comp Engn, Gwangju, South Korea

来源：

2014 INTERNATIONAL CONFERENCE ON IT CONVERGENCE AND SECURITY (ICITCS) | 2014年

关键词：

UWB Radar system; Neural Network classification; Cumulant;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For the last few years, many papers have worked on UWB radar technology for the target detection. Recognition of the human posture could be the next important study. Experimental studies are undertaken with a novel method of the ultra-wideband (UWB) systems to conceal obstacle detection and classification. The recognition can be achieved by UWB-IR signals. In this paper, some features have been presented based on the Cumulant theory to consider the possibility of categorizing different human posture like standing, sitting and lying targets. This paper has used Matlab Neural Network toolbox to do the classification.

引用

页数：4

共 50 条

[31] Characterization of the ultra-wide band channel
Di Renzo, M
Feliziani, M
Graziosi, F
Manzi, G
Santucci, F
2005 IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics, 2005, : 27 - 30
[32] Ultra-wide band wavelength converters
Moutzouris, Konstantinos
Adler, Florian
Sell, Alexander
Leitenstorfer, Alfred
ICTON 2008: PROCEEDINGS OF 2008 10TH ANNIVERSARY INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS, VOL 1, 2008, : 198 - +
[33] Using polarization diversity in the detection of small discontinuities by an ultra-wide band ground-penetrating radar
Sagnard, Florence
Tebchrany, Elias
MEASUREMENT, 2015, 61 : 129 - 141
[34] Throughput Scaling of Ultra-Wide Band Ad Hoc Networks with Infrastructure
Shin, Won-Yong
Ishibashi, Koji
IEICE TRANSACTIONS ON COMMUNICATIONS, 2012, E95B (09) : 2918 - 2921
[35] Ultra-Wide Band Sensor Networks for Tracking Point Scatterers or Relays
Reggiani, Luca
Rydstrom, Mats
Tiberi, Gianluigi
Strom, Erik G.
Monorchio, Agostino
2009 6TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS 2009), 2009, : 1 - +
[36] INDOOR PROPAGATION OF ULTRA-WIDE BAND SIGNALS FOR WIRELESS PERSONAL NETWORKS
Pinhasi, Y.
Petnev, S.
OPTIMIZATION OF THE COMPOSITION, STRUCTURE AND PROPERTIES OF METALS, OXIDES, COMPOSITES, NANO AND AMORPHOUS MATERIALS, 2015, : 138 - 163
[37] A Multi-Target Localization and Vital Sign Detection Method Using Ultra-Wide Band Radar
Zhang, Jingwen
Qi, Qingjie
Cheng, Huifeng
Sun, Lifeng
Liu, Siyun
Wang, Yue
Jia, Xinlei
SENSORS, 2023, 23 (13)
[38] Optimization of ultra-wide band antenna by selection of substrate material using artificial neural network
P. Uday Ashish
Sindhu Hak Gupta
Applied Physics A, 2022, 128
[39] Optimization of ultra-wide band antenna by selection of substrate material using artificial neural network
Ashish, P. Uday
Gupta, Sindhu Hak
APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 2022, 128 (03):
[40] Intrusion detection by ultra-wide bandwidth radar
Meyerhoff, Norman J.
2007 IEEE CONFERENCE ON TECHNOLOGIES FOR HOMELAND SECURITY: ENHANCING CRITICAL INFRASTRUCTURE DEPENDABILITY, 2007, : 81 - +

← 1 2 3 4 5 →