A survey of mmWave-based human sensing: Technology, platforms and applications

J Zhang, R Xi, Y He, Y Sun, X Guo… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT) and the rise of 5G communication
networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts …

A review of IoT-enabled mobile healthcare: technologies, challenges, and future trends

Y Yang, H Wang, R Jiang, X Guo… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has grown over decades to encompass many forms of sensing
modalities, and continues to improve in terms of sophistication and lower costs. The trend of …

Pantomime: Mid-air gesture recognition with sparse millimeter-wave radar point clouds

S Palipana, D Salami, LA Leiva, S Sigg - Proceedings of the ACM on …, 2021 - dl.acm.org
We introduce Pantomime, a novel mid-air gesture recognition system exploiting spatio-
temporal properties of millimeter-wave radio frequency (RF) signals. Pantomime is …

Noninvasive human activity recognition using millimeter-wave radar

C Yu, Z Xu, K Yan, YR Chien, SH Fang… - IEEE Systems …, 2022 - ieeexplore.ieee.org
The millimeter-wave (mmWave) radar technology has attracted significant attention because
it is susceptible to environmental lighting, wall shielding, and privacy concern. This article …

Integrated sensing and communication: Enabling techniques, applications, tools and data sets, standardization, and future directions

J Wang, N Varshney, C Gentile… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The design of integrated sensing and communication (ISAC) systems has drawn recent
attention for its capacity to solve a number of challenges. Indeed, ISAC can enable …

Real-time arm gesture recognition in smart home scenarios via millimeter wave sensing

H Liu, Y Wang, A Zhou, H He, W Wang… - Proceedings of the …, 2020 - dl.acm.org
" In air" gesture recognition using millimeter wave (mmWave) radar and its applications in
natural human-computer-interaction for smart home has shown its potential. However, the …

[HTML][HTML] Application of deep learning on millimeter-wave radar signals: A review

FJ Abdu, Y Zhang, M Fu, Y Li, Z Deng - Sensors, 2021 - mdpi.com
The progress brought by the deep learning technology over the last decade has inspired
many research domains, such as radar signal processing, speech and audio recognition …

M-Gesture: Person-Independent Real-Time In-Air Gesture Recognition Using Commodity Millimeter Wave Radar

H Liu, A Zhou, Z Dong, Y Sun, J Zhang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Millimeter wave (mmWave) sensing promises to enable contactless and high-precision “in-
air” gesture-based human–computer interaction (HCI). While previous works have …

m-activity: Accurate and real-time human activity recognition via millimeter wave radar

Y Wang, H Liu, K Cui, A Zhou, W Li… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
Natural human activity recognition (HAR) via millimeter wave (mmWave) sensing is a key to
the human-computer interaction (HCI), eg, activity assistance and living state monitoring …

Fingerprinting-based indoor localization with commercial MMWave WiFi: A deep learning approach

T Koike-Akino, P Wang, M Pajovic, H Sun… - IEEE Access, 2020 - ieeexplore.ieee.org
Existing fingerprint-based indoor localization uses either fine-grained channel state
information (CSI) from the physical layer or coarse-grained received signal strength indicator …