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 …

mSilent: Towards general corpus silent speech recognition using COTS mmWave radar

S Zeng, H Wan, S Shi, W Wang - Proceedings of the ACM on Interactive …, 2023 - dl.acm.org
Silent speech recognition (SSR) allows users to speak to the device without making a
sound, avoiding being overheard or disturbing others. Compared to the video-based …

Lt-fall: The design and implementation of a life-threatening fall detection and alarming system

D Zhang, X Zhang, S Li, Y Xie, Y Li, X Wang… - Proceedings of the ACM …, 2023 - dl.acm.org
Falls are the leading cause of fatal injuries to elders in modern society, which has motivated
researchers to propose various fall detection technologies. We observe that most of the …

Rf-cm: Cross-modal framework for rf-enabled few-shot human activity recognition

X Wang, T Liu, C Feng, D Fang, X Chen - Proceedings of the ACM on …, 2023 - dl.acm.org
Radio-Frequency (RF) based human activity recognition (HAR) enables many attractive
applications such as smart home, health monitoring, and virtual reality (VR). Among multiple …

Headar: Sensing Head Gestures for Confirmation Dialogs on Smartwatches with Wearable Millimeter-Wave Radar

X Yang, X Wang, G Dong, Z Yan, M Srivastava… - Proceedings of the …, 2023 - dl.acm.org
Nod and shake of one's head are intuitive and universal gestures in communication. As
smartwatches become increasingly intelligent through advances in user activity sensing …

MMHTSR: In-Air Handwriting Trajectory Sensing and Reconstruction Based on mmWave Radar

Q Chen, Z Cui, Z Zhou, Y Tian… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In-air handwriting necessitates consistent motion tracking, in contrast to millimeter-wave
(mmWave) radar-based simple gesture recognition techniques. However, during long …

[HTML][HTML] A Survey of gesture recognition using frequency modulated continuous wave radar

X Qiu, J Liu, L Song, H Teng, J Zhang… - Journal of Computer and …, 2024 - scirp.org
With technology advances and human requirements increasing, human-computer
interaction plays an important role in our daily lives. Among these interactions, gesture …

[PDF][PDF] PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain–Computer Interfaces and Extended Reality Experiments

Z Xie, Y Peng, JP Suh, S Feiner, P Sajda - Journal of Open Source …, 2024 - joss.theoj.org
Figure 1: PhysioLabXR includes various visualization methods, digital signal processing
modules, support for recording and replaying experiments, and a scripting interface to …

A Lightweight Hand-Gesture Recognition Network with Feature Fusion Pre-filtering and FMCW Radar Spatial Angle Estimation

J Chen, S Guo, S Lv, G Cui, L Kong - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
In dynamic hand-gesture recognition, the utilization of multidimensional features in
conjunction with deep learning technique enables the precise recognition of intricate …

mmSpyVR: Exploiting mmWave Radar for Penetrating Obstacles to Uncover Privacy Vulnerability of Virtual Reality

L Mei, R Liu, Z Yin, Q Zhao, W Jiang, S Wang… - Proceedings of the …, 2024 - dl.acm.org
Virtual reality (VR), while enhancing user experiences, introduces significant privacy risks.
This paper reveals a novel vulnerability in VR systems that allows attackers to capture VR …