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 …

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 …

Radar micro moving gesture recognition method based on multi-scale fusion deep network

Z Bao, T Liu - Proceedings of the 2022 5th International Conference …, 2022 - dl.acm.org
In order to solve the problem that the micro moving gesture features are not obvious and
difficult to be identified, a micro moving gesture recognition method based on multi-scale …

Hand-gesture Recognition Based on Parallelism CNN and Multi-domain Representation for mmWave Radar

X Fan, C Chen, Z Huang, L Tang… - 2023 8th International …, 2023 - ieeexplore.ieee.org
In the field of hand-gesture recognition, the method of recognition by using single-class
radar images has the problems of insufficient expression of features and poor accuracy. In …

Learning based tracking and recognition with mmwave radar for smart environments

P Zhao - 2021 - ora.ox.ac.uk
Ubiquitous sensing is a key enabler for smart environment applications, and mmWave radar
is an ideal candidate due to its high usability, low cost and privacy preserving features …