Hand gestures recognition using radar sensors for human-computer-interaction: A review

S Ahmed, KD Kallu, S Ahmed, SH Cho - Remote Sensing, 2021 - mdpi.com
Human–Computer Interfaces (HCI) deals with the study of interface between humans and
computers. The use of radar and other RF sensors to develop HCI based on Hand Gesture …

Flexible gesture input with radars: systematic literature review and taxonomy of radar sensing integration in ambient intelligence environments

AI Şiean, C Pamparău, A Sluÿters, RD Vatavu… - Journal of Ambient …, 2023 - Springer
We examine radar-based gesture input for interactive computer systems, a technology that
has recently grown in terms of commercial availability, affordability, and popularity among …

Real-time radar-based gesture detection and recognition built in an edge-computing platform

Y Sun, T Fei, X Li, A Warnecke, E Warsitz… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
In this paper, a real-time signal processing framework based on a 60 GHz frequency-
modulated continuous wave (FMCW) radar system to recognize gestures is proposed. In …

A novel detection and recognition method for continuous hand gesture using FMCW radar

Y Wang, A Ren, M Zhou, W Wang, X Yang - IEEE Access, 2020 - ieeexplore.ieee.org
In this article, a novel method for continuous hand gesture detection and recognition is
proposed based on a frequency modulated continuous wave (FMCW) radar. Firstly, we …

Hand gesture recognition using an IR-UWB radar with an inception module-based classifier

S Ahmed, SH Cho - Sensors, 2020 - mdpi.com
The emerging integration of technology in daily lives has increased the need for more
convenient methods for human–computer interaction (HCI). Given that the existing HCI …

Hand gesture recognition based on trajectories features and computation-efficient reused LSTM network

Z Yang, X Zheng - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Touchless hand gesture recognition using radar sensor is considered to be an attractive and
effective technique for human-machine interaction. In this paper, we propose a hand gesture …

Cubelearn: End-to-end learning for human motion recognition from raw mmwave radar signals

P Zhao, CX Lu, B Wang, N Trigoni… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
mmWave FMCW radar has attracted a huge amount of research interest for human-centered
applications in recent years, such as human gesture and activity recognition. Most existing …

Time-space dimension reduction of millimeter-wave radar point-clouds for smart-home hand-gesture recognition

Z Xia, F Xu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
This paper proposes a novel time-space dimension reduction method for millimeter-wave
radar point-clouds on long-distance or large-field-of-view hand-gesture recognition. First, a …

FMCW radar-based hand gesture recognition using spatiotemporal deformable and context-aware convolutional 5-D feature representation

X Dong, Z Zhao, Y Wang, T Zeng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recently, frequency-modulated continuous-wave (FMCW) radar-based hand gesture
recognition (HGR) using deep learning has achieved favorable performance. However …

Dynamic Gesture Recognition Based on FMCW Millimeter Wave Radar: Review of Methodologies and Results

G Tang, T Wu, C Li - Sensors, 2023 - mdpi.com
As a convenient and natural way of human-computer interaction, gesture recognition
technology has broad research and application prospects in many fields, such as intelligent …