Pantomime: Mid-air gesture recognition with sparse millimeter-wave radar point clouds
We introduce Pantomime, a novel mid-air gesture recognition system exploiting spatio-
temporal properties of millimeter-wave radio frequency (RF) signals. Pantomime is …
temporal properties of millimeter-wave radio frequency (RF) signals. Pantomime is …
Tesla-rapture: A lightweight gesture recognition system from mmwave radar sparse point clouds
We present Tesla-Rapture, a gesture recognition system for sparse point clouds generated
by mmWave Radars. State of the art gesture recognition models are either too resource …
by mmWave Radars. State of the art gesture recognition models are either too resource …
Real-time spatial normalization for dynamic gesture classification
In this paper, we provide a new spatial data generalization method which we applied in
hand gesture recognition tasks. Data gathering can be a tedious task when it comes to …
hand gesture recognition tasks. Data gathering can be a tedious task when it comes to …
Fusing posture and position representations for point cloud-based hand gesture recognition
A Bigalke, MP Heinrich - 2021 International Conference on 3D …, 2021 - ieeexplore.ieee.org
Hand gesture recognition can benefit from directly processing 3D point cloud sequences,
which carry rich geometric information and enable the learning of expressive spatio …
which carry rich geometric information and enable the learning of expressive spatio …
Angle-Agnostic Radio Frequency Sensing Integrated into 5G-NR
The fusion of radio frequency (RF) sensing with cellular communication networks presents a
revolutionary paradigm, enabling networks to seamlessly integrate communication and …
revolutionary paradigm, enabling networks to seamlessly integrate communication and …
Integrating sensing and communication in cellular networks via nr sidelink
RF-sensing, the analysis and interpretation of movement or environment-induced patterns in
received electromagnetic signals, has been actively investigated for more than a decade …
received electromagnetic signals, has been actively investigated for more than a decade …
Zero-shot motion pattern recognition from 4d point-clouds
We address a timely and relevant problem in signal processing: The recognition of patterns
from spatial data in motion through a zero-shot learning scenario. We introduce a neural …
from spatial data in motion through a zero-shot learning scenario. We introduce a neural …
Applications of 4D Point Clouds (4DPC) in Digital Twin Construction: A SWOT Analysis
Digital twin construction (DTC), the virtual replica of physical construction, is an essential
enabler for the promised Construction 4.0. Thanks to its real-time virtual-physical …
enabler for the promised Construction 4.0. Thanks to its real-time virtual-physical …
MSNR: A Multi-Stage Noise Reduction Method on Point Cloud+
G Chen, SK Kasam, C Wiede - IEEE Sensors Letters, 2024 - ieeexplore.ieee.org
In autonomous driving, direct time-of-flight light detection and ranging (LiDAR) is one of the
most emerging techniques due to its high depth resolution and detection ability in specific …
most emerging techniques due to its high depth resolution and detection ability in specific …
基于MCL 的多速率点云动作识别
李涛， 王松， 谢甜， 马亚彤 - 计算机工程与科学, 2024 - joces.nudt.edu.cn
针对体素数据会占用大量的内存空间且单网络可提取的动作信息有限的问题, 提出了基于MCL
的多速率点云动作识别模型. 首先, 优化了点云数据预处理方法, 使点云数据的总体大小减少1/2; …
的多速率点云动作识别模型. 首先, 优化了点云数据预处理方法, 使点云数据的总体大小减少1/2; …