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 …

Scattering centers to point clouds: A review of mmWave radars for non-radar-engineers

HD Mafukidze, AK Mishra, J Pidanic… - IEEE Access, 2022 - ieeexplore.ieee.org
Recently, mmWave radars have been gaining popularity, thanks to their low cost, ease of
use and high-resolution sensing. In this paper, we provide a review of the mmWave radar …

IndexPen: Two-finger text input with millimeter-wave radar

H Wei, Z Li, AD Galvan, Z Su, X Zhang… - Proceedings of the …, 2022 - dl.acm.org
In this paper, we introduce IndexPen, a novel interaction technique for text input through two-
finger in-air micro-gestures, enabling touch-free, effortless, tracking-based interaction …

Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition

Y Weng, G Wu, T Zheng, Y Yang, J Luo - Proceedings of the 22nd ACM …, 2024 - dl.acm.org
Radio-Frequency (RF)-based Human Activity Recognition (HAR) rises as a promising
solution for applications unamenable to techniques requiring computer visions. However …

View-agnostic Human Exercise Cataloging with Single MmWave Radar

A Liu, YT Lin, K Sundaresan - Proceedings of the ACM on Interactive …, 2024 - dl.acm.org
Advances in mmWave-based sensing have enabled a privacy-friendly approach to pose
and gesture recognition. Yet, providing robustness with the sparsity of reflected signals has …

A novel and lightweight real-time continuous motion gesture recognition algorithm for smartphones

F Sufyan, S Sagar, Z Ashraf, S Nayel, MS Chishti… - IEEE …, 2023 - ieeexplore.ieee.org
Advancement in smartphones has facilitated the investigation of new modalities of human-
machine interaction, including communication through touch, voice, and gestures. In-depth …

Edgeactnet: Edge intelligence-enabled human activity recognition using radar point cloud

F Luo, S Khan, A Li, Y Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) has become a research hotspot because of its wide range
of application prospects. It has higher requirements for real-time and power-efficient …

GesturePrint: Enabling User Identification for mmWave-based Gesture Recognition Systems

L Xu, K Wang, C Gu, X Guo, S He… - 2024 IEEE 44th …, 2024 - ieeexplore.ieee.org
The millimeter-wave (mmWave) radar has been exploited for gesture recognition. However,
existing mmWave-based gesture recognition methods cannot identify different users, which …

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 …

Low complexity radar gesture recognition using synthetic training data

Y Zhao, V Sark, M Krstic, E Grass - Sensors, 2022 - mdpi.com
Developments in radio detection and ranging (radar) technology have made hand gesture
recognition feasible. In heat map-based gesture recognition, feature images have a large …