2024
DOI: 10.3390/s24061800
|View full text |Cite
|
Sign up to set email alerts
|

TRANS-CNN-Based Gesture Recognition for mmWave Radar

Huafeng Zhang,
Kang Liu,
Yuanhui Zhang
et al.

Abstract: In order to improve the real-time performance of gesture recognition by a micro-Doppler map of mmWave radar, the point cloud based gesture recognition for mmWave radar is proposed in this paper. Two steps are carried out for mmWave radar-based gesture recognition. The first step is to estimate the point cloud of the gestures by 3D-FFT and the peak grouping. The second step is to train the TRANS-CNN model by combining the multi-head self-attention and the 1D-convolutional network so as to extract the features i… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 38 publications
(49 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?