Radar sensing of heartbeat and respiration at a distance with applications of the technology

Greneker, Eugene F.

doi:10.1049/cp:19971650

Cited by 82 publications

(67 citation statements)

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“…Doppler-radar was first demonstrated for remotely monitoring human activity in [1,2]. SAR imaging and range detection [3][4][5][6] do not work well to distinguish human targets from cluttered background.…”

Section: Introductionmentioning

confidence: 99%

Through-the-Wall Detection of Stationary Human Targets Using Doppler Radar

Narayanan¹,

Shastry²,

Chen³

et al. 2010

PIER B

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Abstract-In homeland security and law enforcement situations, it is often required to remotely detect human targets obscured by walls and barriers. In particular, we are specifically interested in scenarios that involve a human whose torso is stationary. We propose a technique to detect and characterize activity associated with a stationary human in through-the-wall scenarios using a Doppler radar system. The presence of stationary humans is identified by detecting Doppler signatures resulting from breathing, and movement of the human arm and wrist. The irregular, transient, non-uniform, and non-stationary nature of human activity presents a number of challenges in extracting and classifying Doppler signatures from the signal. These are addressed using bio-mechanical human arm movement models and the empirical mode decomposition (EMD) algorithm for Doppler feature extraction. Experimental results demonstrate the effectiveness of our approach to extract Doppler signatures corresponding to human activity through walls using a 750-MHz Doppler radar system.

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Section: Introductionmentioning

confidence: 99%

Through-the-Wall Detection of Stationary Human Targets Using Doppler Radar

Narayanan¹,

Shastry²,

Chen³

et al. 2010

PIER B

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“…Researchers at Georgia Technology Research Institute (GTRI) used an active radar to note the changes heart volume over time (Greneker, 1997;Geisheimer and Greneker III, 1999). The physical deformation provides extensive information about the individual and the relative health of the heart itself along with respiration and other body movements and muscle flexor noises.…”

Section: Non-contact Measurementsmentioning

confidence: 99%

Heartbeat biometrics: a sensing system perspective

Israel¹,

Irvine²

2012

IJCB

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This paper reviews the emerging research into exploitation of heartbeat data as a biometric for human identification. A variety of methods have been proposed for acquiring heartbeat signatures and a range of processing methods has been examined. We approach the biometric identification and verification problem by characterising the three major factors affecting performance: individual variants, environmental variants, and sensor variants. The ability to collect and process the signal, exploit the data for individual identification or verification, and disseminate the information depends on all three of these factors. Within each component, we have identified the relevant research. Where possible, we have tied these research papers to practical examples using high resolution ECG data. The research indicates that the heartbeat contains rich information about the individual, their level of anxiety, and the cardiac state.Keywords: biometrics; heartbeat; ECG; sensing system; cardiovascular function; human identification. areas of interest include novel biometrics, signal and image processing, quantification and modelling of data quality, and cognitive modeling. He was a Principal Investigator for DARPA's Human Identification at a Distance Program (HumanID). He serves on planning committees for IEEE and SPIE, and has served on several advisory panels for the Department of Defence and the Department of Energy. He has authored over a hundred journal and conference papers and holds a PhD in Mathematical Statistics from Yale University.

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“…In [9][10][11] single target localization by using one sender and multiple receivers has been investigated. Some other articles focused on two dimension areas by multiple radar modules [12].…”

Section: Introductionmentioning

confidence: 99%

An Analysis of 2D Positional Accuracy of Human Bodies Detection Using the Movement of Mono-UWB Radar

Kiasari¹,

Na²,

Kim³

2014

Journal of Sensor Science and Technology

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This paper considers the ability of counting and positioning multi-targets by using a mobile UWB radar device. After a background subtraction process, distinguishing between clutters and human body signals, the position of targets will be computed using weighted Gaussian mixture methods. While computer vision offers many advantages, it has limited performance in poor visibility conditions (e.g., at night, haze, fog or smoke). UWB radar can provide a complementary technology for detecting and tracking humans, particularly in poor visibility or through-wall conditions. As we know, for 2D measurement, one method is the use of at least two receiver antennas. Another method is the use of one mobile radar receiver. This paper tried to investigate the position detection of the stationary human body using the movement of one UWB radar module.

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Radar sensing of heartbeat and respiration at a distance with applications of the technology

Cited by 82 publications

References 0 publications

Through-the-Wall Detection of Stationary Human Targets Using Doppler Radar

Through-the-Wall Detection of Stationary Human Targets Using Doppler Radar

Heartbeat biometrics: a sensing system perspective

An Analysis of 2D Positional Accuracy of Human Bodies Detection Using the Movement of Mono-UWB Radar

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