Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Son, Eungang | - |
| dc.contributor.author | Song, Seungeon | - |
| dc.contributor.author | Lee, Jonghun | - |
| dc.date.accessioned | 2024-02-27T14:40:16Z | - |
| dc.date.available | 2024-02-27T14:40:16Z | - |
| dc.date.created | 2024-02-22 | - |
| dc.date.issued | 2023-10-13 | - |
| dc.identifier.isbn | 9798350313277 | - |
| dc.identifier.issn | 2162-1241 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.11750/47989 | - |
| dc.description.abstract | This paper proposes a structured pruning-network architecture search (NAS) algorithm for a lightweight deep-learning radar foot gesture recognition in a conventional lightweight deep-learning models to quantitatively evaluate its performance. Our goal is to recognize foot gestures using a CW radar, generate their STFT unique signatures, and build a foot gesture recognition system that could be implemented on an edge device. The proposed scheme shows that model size and FLOPs were reduced, and a sub-optimal lightweight model for a foot gesture recognition device based on MobileNet was obtained with a slight decrease in accuracy. © 2023 IEEE. | - |
| dc.language | English | - |
| dc.publisher | 한국통신학회 (The Korean Institute of Communications and Information Sciences, KICS) | - |
| dc.title | A lightweight deep-learning radar gesture recognition based on a structured pruning-NAS | - |
| dc.type | Conference Paper | - |
| dc.identifier.doi | 10.1109/ICTC58733.2023.10393376 | - |
| dc.identifier.scopusid | 2-s2.0-85184565320 | - |
| dc.identifier.bibliographicCitation | International Conference on Information and Communication Technology Convergence, ICTC 2023, pp.1729 - 1731 | - |
| dc.identifier.url | https://journal-home.s3.ap-northeast-2.amazonaws.com/site/ictc2023a/ICTC+2023+Final+Program_v12.pdf | - |
| dc.citation.conferencePlace | KO | - |
| dc.citation.conferencePlace | 제주 | - |
| dc.citation.endPage | 1731 | - |
| dc.citation.startPage | 1729 | - |
| dc.citation.title | International Conference on Information and Communication Technology Convergence, ICTC 2023 | - |
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