Multi-modal fusion sensing: A comprehensive review of millimeter-wave radar and its integration with other modalities

S Wang, L Mei, R Liu, W Jiang, Z Yin… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and
adaptability to various environmental conditions, holds immense potential across multi …

A survey of mmwave radar-based sensing in autonomous vehicles, smart homes and industry

H Kong, C Huang, J Yu, X Shen - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
Sensing technology plays a crucial role in bridging the physical and digital worlds. By
transforming a multitude of physical phenomena into digital data, it significantly enhances …

Research progress of human–computer interaction technology based on gesture recognition

H Zhou, D Wang, Y Yu, Z Zhang - Electronics, 2023 - mdpi.com
Gesture recognition, as a core technology of human–computer interaction, has broad
application prospects and brings new technical possibilities for smart homes, medical care …

[HTML][HTML] Progressively-orthogonally-mapped EfficientNet for action recognition on time-range-Doppler signature

C Yao, J Ren, R Bai, H Du, J Liu, X Jiang - Expert Systems with Applications, 2024 - Elsevier
Although 2D radar signal representations, such as spectrograms and range-Doppler maps
have been widely used for target recognition, 3D time-range-Doppler (TRD) has been less …

Lightweight and person-independent radar-based hand gesture recognition for classification and regression of continuous gestures

T Stadelmayer, Y Hassab, L Servadei… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
This article proposes a novel preprocessing technique for radar-based short-range gesture
sensing using a frequency modulated continuous wave (FMCW) radar. The preprocessing is …

P3ID: A Privacy-Preserving Person Identification Framework Towards Multi-Environments Based on Transfer Learning

H He, X Huan, J Wang, Y Luo, H Hu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Concerns surrounding privacy leakages caused by prevalent vision-based person
identifications are countless. A promising privacy-preserving solution is to identify the …

Dgscr: Double-target gesture separation and classification recognition based on deep learning and millimeter-wave radar

H Zhao, Y Ma, Y Lu, K Liu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In the field of human–computer interaction, millimeter-wave radar has attracted considerable
attention as a contactless and private approach to hand gesture recognition. However …

Wi-AM: Enabling Cross-Domain Gesture Recognition with Commodity Wi-Fi

J **e, Z Li, C Feng, J Lin, X Meng - Sensors, 2024 - mdpi.com
RF-based gesture recognition systems outperform computer vision-based systems in terms
of user privacy. The integration of Wi-Fi sensing and deep learning has opened new …

[HTML][HTML] Robust hand gesture recognition using a deformable dual-stream fusion network based on CNN-tcn for FMCW radar

M Zhu, C Zhang, J Wang, L Sun, M Fu - Sensors, 2023 - mdpi.com
Hand Gesture Recognition (HGR) using Frequency Modulated Continuous Wave (FMCW)
radars is difficult because of the inherent variability and ambiguity caused by individual …

Source-free domain adaptation for millimeter wave radar based human activity recognition

J Liu, D Zeng, L Li, H Lin, X Tian - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Human activity recognition based on millimeter-wave radar is dedicated to monitor people's
daily activities and detect specific dangerous actions. Although existing methods achieve …