High-Accuracy Gesture Recognition using Mm-Wave Radar Based on Convolutional Block Attention Module
Author:
Affiliation:
1. Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China
2. China Aerospace Science and Industry Corporation,8511 Research Institute,Beijing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10221937/10221892/10222362.pdf?arnumber=10222362
Reference22 articles.
1. Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Sparse Point Clouds;salami;IEEE Transactions on Mobile Computing,2022
2. Temporal-Range-Doppler Features Interpretation and Recognition of Hand Gestures Using mmW FMCW Radar Sensors
3. SHAPE: a dataset for hand gesture recognition
4. Increasing Accuracy of Hand Gesture Recognition using Convolutional Neural Network
5. Range Doppler detection for automotive FMCW radars
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1. Millimeter wave gesture recognition using multi-feature fusion models in complex scenes;Scientific Reports;2024-06-14
2. TRANS-CNN-Based Gesture Recognition for mmWave Radar;Sensors;2024-03-11
3. Uncertainty-Aware Hand Gesture Recognition Based on Fmcw Mimo Radar and Convolutional Neural Network;2024
4. Hand Gesture Recognition using MIMO Radar and Lightweight Convolutional Neural Network;2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS);2023-11-27
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