Person Identification With Millimeter-Wave Radar in Realistic Smart Home Scenarios

Xia, Zhaoyang; Ding, Genming; Wang, Hui; Xu, Feng

doi:10.1109/lgrs.2021.3117001

Cited by 21 publications

(11 citation statements)

References 19 publications

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“…To obtain the moving speed of targets under test, Fourier transform is conducted to determine Doppler frequency shifts of the received IF signals. Relationships between velocity of the moving object and Doppler frequency shifts is given by [18][19][20]36,37 :…”

Section: Yesmentioning

confidence: 99%

“…Meanwhile, millimeter-wave (mmWave) technology is crucial for current/next-generation wireless systems 16,17 . In particular, a mmWave Doppler radar sensor can detect Doppler-based motion, speed, and direction of movement (approaching or leaving) with exceptional speed resolution [18][19][20] . Its unique features make it suitable for a wide range of applications, including vehicle radars 21 , intelligent devices 22 , and medicare sensors 23 .…”

Section: Introductionmentioning

confidence: 99%

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A holistically 3D-printed flexible millimeter-wave Doppler radar: Towards fully printed high-frequency multilayer flexible hybrid electronics systems

Tang

Zhang

Zheng

et al. 2023

Preprint

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Flexible hybrid electronics (FHE) is an emerging technology enabled through the integration of advanced semiconductor devices and 3D printing technology. It unlocks tremendous market potential by realizing low-cost flexible circuits and systems that can be conformally integrated into various applications. However, the operating frequencies of most reported FHE systems are relatively low. It is also worth to note that reported FHE systems have been limited to relatively simple design concept (since complex systems will impose challenges in aspects such as multilayer interconnections, printing materials, and bonding layers). Here, we report a fully 3D-printed flexible four-layer millimeter-wave Doppler radar (i.e., a millimeter-wave FHE system). The sensing performance and flexibility of the 3D-printed radar are characterized and validated by general field tests and bending tests, respectively. Our results demonstrate the feasibility of developing fully 3D-printed high-frequency multilayer FHE, which can be conformally integrated into irregular surfaces (e.g., vehicle bumpers) for applications such as vehicle radars and wearable electronics.

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Section: Yesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A holistically 3D-printed flexible millimeter-wave Doppler radar: Towards fully printed high-frequency multilayer flexible hybrid electronics systems

Tang

Zhang

Zheng

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In [7], a CNN architecture that can utilize hierarchical features is proposed to identify MDSs related to personal identity. To learn and identify gait Doppler signatures, Xia et al [8] created a lightweight multi-branch CNN. Some methods just use well-known networks for this task.…”

Section: Related Workmentioning

confidence: 99%

“…With the rise and development of deep learning, many scholars have begun to use deep learning to solve the above problems. Some researchers [6][7][8] have proposed some methods to preprocess the data, removed part of the noise, designed new CNN architectures, and obtained some improvements. Some researchers [9][10][11][12] use some existing well-known networks, such as ResNet50 [13], AlexNet [14] and VGG-16 [15] to apply to this task.…”

Section: Introductionmentioning

confidence: 99%

Person identification using a new CNN-based method and radar gait micro-Doppler signatures

Huang

Jiang

et al. 2022

J. Phys.: Conf. Ser.

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The use of gait micro-Doppler signatures to identify a person is a hot topic of research. In this paper, we present a new CNN-based method called Multi-Scale CNN (MS-CNN) to obtain features at multiple scales. It extracts shallow features at low-level multi-scale blocks by using multiple kernels at the same time, then extracts deep features and fuses multi-branch embedding features at high-level multi-branch blocks. Experimental results reveal that our method outperforms other commonly used CNN algorithms in terms of accuracy, allowing it to be used for personal identification.

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“…One approach uses point cloud data of walking people acquired by MMW FMCW radars [17], [18]. Another approach uses Doppler signature of walking people, which is characterized by different motion velocities of different body parts during walk [19], [20]. This paper proposes a recognition approach based on face images acquired with a 340 GHz imaging system.…”

Section: Introductionmentioning

confidence: 99%

Detection and recognition of concealed faces using a 340 GHz imaging system

Yildirim

Altan²,

Sahin³

2022

Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies VI

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Biometric recognition and surveillance systems based on visible band imaging cameras encounter a number of limitations such as the effects of lighting conditions and occlusions. As a result, there is an interest in beyond the visible spectrum in this field. Due to their characteristics such as transmission through common barrier materials, use of millimeter and submillimeter wave systems in the field of biometrics have been proposed in order to overcome these difficulties. This paper discusses the possibility of biometric identification of individuals using face images acquired by an active terahertz imaging system operating at 340 GHz. Optical resolution at this frequency is sufficient to provide detailed face images containing characteristic features of individual people. With the ability to penetrate through clothing materials, these characteristics are expected to be preserved in concealed face images, which would allow recognition of individuals through clothing items worn around the face. Here, we examine the effect of the concealment on THz images by comparing face images acquired with and without concealment, in terms of a future face recognition system operating at this frequency.

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Person Identification With Millimeter-Wave Radar in Realistic Smart Home Scenarios

Cited by 21 publications

References 19 publications

A holistically 3D-printed flexible millimeter-wave Doppler radar: Towards fully printed high-frequency multilayer flexible hybrid electronics systems

A holistically 3D-printed flexible millimeter-wave Doppler radar: Towards fully printed high-frequency multilayer flexible hybrid electronics systems

Person identification using a new CNN-based method and radar gait micro-Doppler signatures

Detection and recognition of concealed faces using a 340 GHz imaging system

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