Gesture recognitionMillimeter wave radarLong-range scenarioConvolutional neural networksMillimeter wave (mmWave) based gesture recognition technology provides a good human computer interaction (HCI) experience. Prior works focus on the close-range gesture recognition, but fall short in range extension, i.e...
Gesture recognition is an important way of human-computer interaction, and gesture recognition using millimetre wave radar has a wider range of application scenarios. Deep learning is widely used in millimetre wave radar gesture recognition, but the features extracted by existing deep learning methods ...
Real-time Arm Gesture Recognition in Smart Home Scenarios via Millimeter Wave Sensing "In air" gesture recognition using millimeter wave (mmWave) radar and its applications in natural human-computer-interaction for smart home has shown its p... H Liu,Y Wang,A Zhou,... - 《Proceedings of the...
The radar-based gesture control system enhances driver interaction by using hand gestures to operate vehicle functions, ensuring safer and more efficient driving. Automotive mmWave radar gesture control technology marks a pivotal innovation in vehicle interface systems, significantly enhancing user experience...
This dataset can be used to develop machine learning algorithms for pose estimation and gesture command recognition using RaDAR data. Researchers and developers can develop different models based on their targeted applications. As an example, we have used a 3D Convolutional Neural Network (CNN) archit...
This is the open source data set for the paper "Multidimensional Feature Representation and Learning for Robust Hand-Gesture Recognition on Commercial Millimeter-Wave Radar", which has been accepted by IEEE TGRS.展开收起 暂无标签 /anruoran/mm-wave-gesture-dataset ...
View-agnostic Human Exercise Cataloging with Single MmWave Radar Advances in mmWave-based sensing have enabled a privacy-friendly approach to pose and gesture recognition. Yet, providing robustness with the sparsity of r... LiuAlan,LinYu-Tai,SundaresanKarthikeyan - 《Proceedings of the Acm on Interac...
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 ... D Salami,R Hasibi,S Palipana,... - 《IE...
We evaluate the proposed method using data collected from 10 users and our proposed solution achieves an average recognition accuracy of 99.7%. Extensive experiments on a public mmWave gesture dataset demonstrate the superior effectiveness of the proposed system....
However, little work has been done towards static gesture recognition using mmWave radars and CNNs due to the difficulty involved in extracting meaningful features from the radar return signal, and the results are inferior compared with dynamic gesture classification. This article presents an efficient...