國立虎尾科技大學 |

RF Modeling of Human Motion Detection in Indoor Environments.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	RF Modeling of Human Motion Detection in Indoor Environments./
Author:	Tran, Nghia Huu.
Description:	1 online resource (107 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Contained By:	Dissertation Abstracts International79-10B(E).
Subject:	Electrical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9780438008298

RF Modeling of Human Motion Detection in Indoor Environments.
Tran, Nghia Huu.

RF Modeling of Human Motion Detection in Indoor Environments. - 1 online resource (107 pages)

Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.

Thesis (D.Engr.)--The Catholic University of America, 2018.

Includes bibliographical references

The detection of human motions (e.g., walking, running, falling, etc.) without any physical contact with the human subjects plays an important role in a number of scientific and engineering applications such as biomedical diagnosis and treatment, physical condition monitoring of athletes in training process, health monitoring for senior citizens in long-term care facilities, urban operations for military and homeland security, and remote monitoring of the astronauts living status in orbital spacecrafts. Numerous radar technologies have been used for this purpose; such as Continuous-wave (CW) Doppler radar, Ultra-wideband (UWB) radars and stepped-frequency (SF) CW radars for experimental investigation of their applicability. However, pure experimental approaches lack precise control over the subject's motions, and thus can't effectively isolate the contributions from different components of the human motion for a good assessment. Electromagnetic modeling of human motion in a realistic fashion and accurately is thus important. In this work, I present such a human model capable of realistic human motions, and utilize full-wave computational electromagnetics techniques on hardware accelerated platforms to accurately predict the radar response for such a large scale problem. To the best of my knowledge, modeling of human motion for radar detection has not been studied. Thus, this research will focus on modeling human motion and its remote detection with radar technology in indoor environments to aid optimizing and enhancing experimental approaches. The proposed research consists of three main components: (1) development of a realistic human motion model, (2) development of an accurate electromagnetic scattering model from the scene, and (3) development of a detection and motion classification algorithm.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780438008298Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

RF Modeling of Human Motion Detection in Indoor Environments.
LDR:03030ntm a2200325Ki 4500 001 917881
005 20181022132249.5
006 m o u
007 cr mn||||a|a||
008 190606s2018 xx obm 000 0 eng d
020 $a 9780438008298
035 $a (MiAaPQ)AAI10810668
035 $a (MiAaPQ)cua:10926
035 $a AAI10810668
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Tran, Nghia Huu. $3 1192069
245 1 0 $a RF Modeling of Human Motion Detection in Indoor Environments.
264 0 $c 2018
300 $a 1 online resource (107 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 $a Adviser: Ozlem Kilic.
502 $a Thesis (D.Engr.)--The Catholic University of America, 2018.
504 $a Includes bibliographical references
520 $a The detection of human motions (e.g., walking, running, falling, etc.) without any physical contact with the human subjects plays an important role in a number of scientific and engineering applications such as biomedical diagnosis and treatment, physical condition monitoring of athletes in training process, health monitoring for senior citizens in long-term care facilities, urban operations for military and homeland security, and remote monitoring of the astronauts living status in orbital spacecrafts. Numerous radar technologies have been used for this purpose; such as Continuous-wave (CW) Doppler radar, Ultra-wideband (UWB) radars and stepped-frequency (SF) CW radars for experimental investigation of their applicability. However, pure experimental approaches lack precise control over the subject's motions, and thus can't effectively isolate the contributions from different components of the human motion for a good assessment. Electromagnetic modeling of human motion in a realistic fashion and accurately is thus important. In this work, I present such a human model capable of realistic human motions, and utilize full-wave computational electromagnetics techniques on hardware accelerated platforms to accurately predict the radar response for such a large scale problem. To the best of my knowledge, modeling of human motion for radar detection has not been studied. Thus, this research will focus on modeling human motion and its remote detection with radar technology in indoor environments to aid optimizing and enhancing experimental approaches. The proposed research consists of three main components: (1) development of a realistic human motion model, (2) development of an accurate electromagnetic scattering model from the scene, and (3) development of a detection and motion classification algorithm.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The Catholic University of America. $b Electrical Engineering and Computer Science. $3 1180189
773 0 $t Dissertation Abstracts International $g 79-10B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10810668 $z click for full text (PQDT)