Resource Efficient Gesture Sensing Based on FMCW Radar using Spiking Neural Networks-Reference-Cited by-同舟云学术

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Resource Efficient Gesture Sensing Based on FMCW Radar using Spiking Neural Networks

Published:2021-06-07 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE MTT-S International Microwave Symposium (IMS)
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Author:

Arsalan Muhammad,Chmurski Mateusz,Santra Avik,El-Masry Moamen,Weigel Robert,Issakov Vadim

Funder

Electronic Components and Systems for European Leadership Joint Undertaking

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9574790/9574791/09574994.pdf?arnumber=9574994

Cited by 13 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. Toward Efficient System-on-Module for Design-Space Exploration of Analog Spiking Neural Networks;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-08

2. Low Power Gesture Sensing System Based on Target Range Using Spiking Neural Networks for Portable Devices;2024 IEEE Radio and Wireless Symposium (RWS);2024-01-21

3. NeuroRadar: A Neuromorphic Radar Sensor for Low-Power IoT Systems;Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems;2023-11-12

4. Spiking-Timing-Dependent Plasticity Convolutional Spiking Neural Network for Efficient Radar-Based Gesture Recognition;2023 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML);2023-11-03

5. Low Power Radar-based Air-Writing System using Genetic Algorithm-assisted Spiking Legendre Memory Unit;2023 20th European Radar Conference (EuRAD);2023-09-20

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