A Multi-feature Fusion Temporal Neural Network for Multi-hand Gesture Recognition using Millimeter-wave Radar Sensor-Reference-Cited by-同舟云学术

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A Multi-feature Fusion Temporal Neural Network for Multi-hand Gesture Recognition using Millimeter-wave Radar Sensor

Published:2021-11-28 Issue: Volume: Page:
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Container-title:2021 IEEE Asia-Pacific Microwave Conference (APMC)
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Author:

Yao Dengke,Wang Yong,Nie Wei,Xie Liangbo,Zhou Mu,Yang Xiaobo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9661585/9661586/09661686.pdf?arnumber=9661686

Reference9 articles.

1. Hand Gesture Recognition Based on Trajectories Features and Computation-Efficient Reused LSTM Network

2. Latern: Dynamic Continuous Hand Gesture Recognition Using FMCW Radar Sensor

3. Interference Suppression Based Gesture Recognition Method with FMCW Radar

4. TS-I3D Based Hand Gesture Recognition Method With Radar Sensor

5. Efficient array design algorithm for wide-band application of the MUltiple SIgnal Classification algorithm

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature Reconstruction For Multi-Hand Gesture Signals Separation Based on Enhanced Music Using Millimeter-Wave Radar;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Dynamic Gesture Recognition Based on FMCW Millimeter Wave Radar: Review of Methodologies and Results;Sensors;2023-08-28

3. Multi-Hand Gesture Separation and Recognition using Millimeter-wave Radar;2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP);2022-11-04

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