Range-Aware Hand Gesture Recognition Using FMCW Radar and Deep Learning-Reference-Cited by-同舟云学术

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Range-Aware Hand Gesture Recognition Using FMCW Radar and Deep Learning

Published:2023-12-17 Issue: Volume: Page:602-609
ISSN:
Container-title:2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
language:
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Author:

Iida Yosuke¹,Fan Mingyang¹,Brahim Walid¹,Ma Jianhua²,Ma Muxin³,Qi Alex³

Affiliation:

1. Hosei University,Graduate School of Computer and Information Sciences,Tokyo,Japan,184-8584

2. Faculty of Computer and Information Sciences Hosei University,Tokyo,Japan,184-8584

3. Pontosense Inc.,Toronto,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475889/10475881/10475949.pdf?arnumber=10475949

Reference26 articles.

1. Dop-DenseNet: Densely Convolutional Neural Network-Based Gesture Recognition Using a Micro-Doppler Radar

2. Robust Gesture Recognition Using Millimetric-Wave Radar System

3. Hand Gesture Controlled Nursing Bed Using FMCW Radar

4. Human Presence Sensing and Gesture Recognition for Smart Home Applications With Moving and Stationary Clutter Suppression Using a 60-GHz Digital Beamforming FMCW Radar

5. TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition With Short Range Radars

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