FMCW Radar-Based Hand Gesture Recognition Using Dual-Stream CNN-GRU Model
Author:
Affiliation:
1. Institute for Microelectronics and Circuit Technology Universität der Bundeswehr München,Neubiberg,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9924553/9924623/09924984.pdf?arnumber=9924984
Reference17 articles.
1. Continuous Gesture Recognition Based on Time Sequence Fusion Using MIMO Radar Sensor and Deep Learning
2. Dynamic Hand Gesture Classification Based on Multistatic Radar Micro-Doppler Signatures Using Convolutional Neural Network
3. Short-Range Radar Based Real-Time Hand Gesture Recognition Using LSTM Encoder
4. TS-I3D Based Hand Gesture Recognition Method With Radar Sensor
5. DeepGRU: deep gesture recognition utility;maghoumi;CoRR,2018
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1. TRANS-CNN-Based Gesture Recognition for mmWave Radar;Sensors;2024-03-11
2. Adaptive Trajectories’ Constant False Alarm Rate Mirror Filters and Elevation Angle Evaluation for Multiple-Input Multiple-Output Radar-Based Hand Gesture Recognition;Electronics;2024-02-07
3. Sensing, Tracking, and Recognition of Macro–Micro Hand Gestures Using Interferometric MIMO Radar;IEEE Transactions on Instrumentation and Measurement;2024
4. Lightweight micro-motion gesture recognition based on MIMO millimeter wave radar using Bidirectional-GRU network;Neural Computing and Applications;2023-09-08
5. Dynamic Gesture Recognition Based on FMCW Millimeter Wave Radar: Review of Methodologies and Results;Sensors;2023-08-28
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