NeuroRadar: A Neuromorphic Radar Sensor for Low-Power IoT Systems-Reference-Cited by-同舟云学术

NeuroRadar: A Neuromorphic Radar Sensor for Low-Power IoT Systems

Published:2023-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems
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Author:

Zheng Kai¹^ORCID,Qian Kun¹^ORCID,Woodford Timothy²^ORCID,Zhang Xinyu¹^ORCID

Affiliation:

1. Electrical and computer engineering, University of California San Diego, La Jolla, California, United States of America

2. Electrical and computer engineering, University of California San Diego, La Jolla, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625687.3625788

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4. A Low Power, Fully Event-Based Gesture Recognition System

5. Arsalan, M., Chmurski, M., Santra, A., El-Masry, M., Weigel, R., and Issakov, V. Resource efficient gesture sensing based on fmcw radar using spiking neural networks. In 2021 IEEE MTT-S International Microwave Symposium (IMS) (2021), IEEE, pp. 78--81.

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