A Time Domain Artificial Intelligence Radar System Using 33-GHz Direct Sampling for Hand Gesture Recognition

Author:

Park JungwoonORCID,Jang JunyoungORCID,Lee GeunhaengORCID,Koh HyunminORCID,Kim Changhwan,Kim Tae WookORCID

Funder

Institute of Information and Communications Technology Planning and Evaluation (IITP) Grant funded by the Korean Government

IC Design Education Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 22 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. A 0.5–15 GHz reconfigurable IR-UWB receiver in 28 nm CMOS;AEU - International Journal of Electronics and Communications;2024-07

2. HGRP: A 181-μ W Real-Time Hand Gesture Recognition Processor Based on Bi-Directional Convolution and Iteration-Free Feature Clustering;IEEE Journal of Solid-State Circuits;2024-06

3. Artificial Intelligence in Radar Technology and Communication Networks;2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon);2024-04-25

4. A 140-GHz FMCW Radar Transceiver With Dual-Lens Packaging for Improved Beam Alignment in 65-nm CMOS Technology;IEEE Transactions on Microwave Theory and Techniques;2024

5. RadarSense: Accurate Recognition of Mid-air Hand Gestures with Radar Sensing and Few Training Examples;ACM Transactions on Interactive Intelligent Systems;2023-09-11

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