Gait Variations in Human Micro-Doppler

Tahmoush, Dave; Silvious, Jerry

doi:10.2478/v10177-011-0003-1

Cited by 12 publications

(10 citation statements)

References 14 publications

(11 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For finding the correct position of fishes in the sea, researchers [26] designed a technique using LIDAR (light detection and ranging). Using the micro-Doppler technique [27], researchers also tried avoiding risky animal intrusions in the housing area.…”

Section: Real-time Automatic Obstacle Detection and Alert System For mentioning

confidence: 99%

Real-Time Automatic Obstacle Detection and Alert System for Driver Assistance on Indian Roads

Sharma

Shah

2016

IJEECS

View full text Add to dashboard Cite

show abstract

Section: Real-time Automatic Obstacle Detection and Alert System For mentioning

confidence: 99%

Real-Time Automatic Obstacle Detection and Alert System for Driver Assistance on Indian Roads

Sharma

Shah

2016

IJEECS

View full text Add to dashboard Cite

show abstract

“…The motion of a human can be detected from the side as well as the front [10,19,21,24], though they are more difficult to detect. Features can be extracted or built upon human and animal micro-Doppler models [8,14,26,27,28]. Radar data itself is rich, allowing the use of micro-Doppler as a weak but long-range biometric [29], but can be limited when using an unattended ground sensor (UGS) version [30,31].…”

Section: Micro-doppler Phenomenamentioning

confidence: 99%

Human polarimetric micro-doppler

Tahmoush

Silvious

2011

SPIE Proceedings

Self Cite

View full text Add to dashboard Cite

Modern radars can pick up target motions other than just the principle target Doppler; they pick out the small micro-Doppler variations as well. These can be used to visually identify both the target type as well as the target activity. We model and measure some of the micro-Doppler motions that are amenable to polarimetric measurement.Understanding the capabilities and limitations of radar systems that utilize micro-Doppler to measure human characteristics is important for improving the effectiveness of these systems at securing areas. In security applications one would like to observe humans unobtrusively and without privacy issues, which make radar an effective approach. In this paper we focus on the characteristics of radar systems designed for the estimation of human motion for the determination of whether someone is loaded.Radar can be used to measure the direction, distance, and radial velocity of a walking person as a function of time. Detailed radar processing can reveal more characteristics of the walking human. The parts of the human body do not move with constant radial velocity; the small micro-Doppler signatures are timevarying and therefore analysis techniques can be used to obtain more characteristics. Looking for modulations of the radar return from arms, legs, and even body sway are being assessed by researchers. We analyze these techniques and focus on the improved performance that fully polarimetric radar techniques can add. We perform simulations and fully polarimetric measurements of the varying micro-Doppler signatures of humans as a function of elevation angle and azimuthal angle in order to try to optimize this type of system for the detection of arm motion, especially for the determination of whether someone is carrying something in their arms. The arm is often bent at the elbow, providing a surface similar to a dihedral. This is distinct from the more planar surfaces of the body and allows us to separate the signals from the arm (and knee) motion from the rest of the body. The double-bounce can be measured in polarimetric radar data by measuring the phase difference between HH and VV. Additionally, the cross-pol and co-pol Doppler signatures are analyzed, showing that the HH polarization may perform better on dismounts in open grass.

show abstract

“…The motion of a human can be detected from the side as well as the front [10,24,28], though they are more difficult to detect. In order to develop features that are relatively insensitive to both azimuthal angle and depression angle, a series of features will have to be built upon human and animal micro-Doppler models [8,14,29,30,31]. Radar data itself is rich, allowing the use of micro-Doppler as a weak but long-range biometric [32], but can be limited when using an UGS version [33,34].…”

Section: Foot Footmentioning

confidence: 99%

Visualizing and displaying radar micro-doppler data

Tahmoush

Silvious

2011

SPIE Proceedings

Self Cite

View full text Add to dashboard Cite

A time-integrated range-Doppler map shows the micro-Doppler characteristics of targets in radar images that enable an operator to classify different target types and to classify different activities being done by the targets. A time-integrated range-Doppler map is a compilation of range-Doppler maps over time that results in a spectrogram-like characterization of Doppler while maintaining the range information as well. These are compiled from the range-Doppler maps by taking the maximum value for each pixel over a time range. The time resolution is overlapped onto the range resolution, which is in effect a rotation of the traditional spectrogram which compresses range. This type of radar imaging also allows multiple subjects to be viewed simultaneously and avoids tracking issues in spectrogram creation. The display of range-Doppler movies or spectrograms with range extent is also demonstrated.

show abstract

Gait Variations in Human Micro-Doppler

Cited by 12 publications

References 14 publications

Real-Time Automatic Obstacle Detection and Alert System for Driver Assistance on Indian Roads

Real-Time Automatic Obstacle Detection and Alert System for Driver Assistance on Indian Roads

Human polarimetric micro-doppler

Visualizing and displaying radar micro-doppler data

Contact Info

Product

Resources

About