講演名 | 2021-05-14 A Microwave-based Object Recognition System Using Learning Techniques Viktor Erdelyi(阪大), Hamada Rizk(阪大), Hirozumi Yamaguchi(阪大), Teruo Higashino(阪大), |
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抄録(和) | Object recognition has numerous applications including asset tracking, lifestyle analysis, and navigation assistance. However, state-of-the-art approaches tend to require electric objects or tagged objects, or they rely on privacy-sensitive data such as audio or visual images. In this paper, we present a microwave-based object recognition approach. We use two single-antenna software-defined radios to transmit microwave signals through objects and receive them on the opposite side. Then, we recognize the objects using a Random Forest classifier. We evaluated the proposed system using four objects and several microwave frequencies. Using only a 10 ms signal, the system can correctly detect the presence of the object 98.7% of the time, and it can differentiate between different objects 92% of the time. |
抄録(英) | Object recognition has numerous applications including asset tracking, lifestyle analysis, and navigation assistance. However, state-of-the-art approaches tend to require electric objects or tagged objects, or they rely on privacy-sensitive data such as audio or visual images. In this paper, we present a microwave-based object recognition approach. We use two single-antenna software-defined radios to transmit microwave signals through objects and receive them on the opposite side. Then, we recognize the objects using a Random Forest classifier. We evaluated the proposed system using four objects and several microwave frequencies. Using only a 10 ms signal, the system can correctly detect the presence of the object 98.7% of the time, and it can differentiate between different objects 92% of the time. |
キーワード(和) | uninstrumented object recognition / microwave sensing / software-defined radio / machine learning |
キーワード(英) | uninstrumented object recognition / microwave sensing / software-defined radio / machine learning |
資料番号 | CS2021-10 |
発行日 | 2021-05-06 (CS) |
研究会情報 | |
研究会 | CS / CQ |
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開催期間 | 2021/5/13(から2日開催) |
開催地(和) | オンライン開催 |
開催地(英) | On-line |
テーマ(和) | 光/無線アクセスとそれらの融合,通信行動,QoEと心理,QoS,通信品質の評価・計測・制御・最適化,ネットワークサービス,無線ネットワーク,MIMO・ダイバーシチ・マルチプレキシング,一般 |
テーマ(英) | Optical/Wireless Access and Their Integration, Communication Behavior, QoE and Psychology, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, Wireless Networks, MIMO/Diversity/Multiplexing Techniques, etc. |
委員長氏名(和) | 寺田 純(NTT) / 下西 英之(NEC) |
委員長氏名(英) | Jun Terada(NTT) / Hideyuki Shimonishi(NEC) |
副委員長氏名(和) | 梅原 大祐(京都工繊大) / 岡本 淳(NTT) / 平栗 健史(日本工大) |
副委員長氏名(英) | Daisuke Umehara(Kyoto Inst. of Tech.) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
幹事氏名(和) | 名倉 健一(三菱電機) / 吉田 悠来(NICT) / 木村 共孝(同志社大) / 山中 広明(NICT) / アベセカラ ヒランタ(NTT) |
幹事氏名(英) | Kenichi Nakura(Mitsubishi Electric) / Yuki Yoshida(NICT) / Tomotaka Kimura(Doshisha Univ.) / Hiroaki Yamanaka(NICT) / Hirantha Abeysekera(NTT) |
幹事補佐氏名(和) | 斉藤 洋之(OKI) / 山浦 隆博(東芝) / 西川 由明(NEC) / 木村 拓人(NTT) / 堅岡 良知(KDDI総合研究所) |
幹事補佐氏名(英) | Hiroyuki Saito(OKI) / Takahiro Yamaura(Toshiba) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) / Ryoichi Kataoka(KDDI Research) |
講演論文情報詳細 | |
申込み研究会 | Technical Committee on Communication Systems / Technical Committee on Communication Quality |
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本文の言語 | ENG |
タイトル(和) | |
サブタイトル(和) | |
タイトル(英) | A Microwave-based Object Recognition System Using Learning Techniques |
サブタイトル(和) | |
キーワード(1)(和/英) | uninstrumented object recognition / uninstrumented object recognition |
キーワード(2)(和/英) | microwave sensing / microwave sensing |
キーワード(3)(和/英) | software-defined radio / software-defined radio |
キーワード(4)(和/英) | machine learning / machine learning |
第 1 著者 氏名(和/英) | Viktor Erdelyi / Viktor Erdelyi |
第 1 著者 所属(和/英) | Osaka University(略称:阪大) Osaka University(略称:Osaka Univ.) |
第 2 著者 氏名(和/英) | Hamada Rizk / Hamada Rizk |
第 2 著者 所属(和/英) | Osaka University(略称:阪大) Osaka University(略称:Osaka Univ.) |
第 3 著者 氏名(和/英) | Hirozumi Yamaguchi / Hirozumi Yamaguchi |
第 3 著者 所属(和/英) | Osaka University(略称:阪大) Osaka University(略称:Osaka Univ.) |
第 4 著者 氏名(和/英) | Teruo Higashino / Teruo Higashino |
第 4 著者 所属(和/英) | Osaka University(略称:阪大) Osaka University(略称:Osaka Univ.) |
発表年月日 | 2021-05-14 |
資料番号 | CS2021-10 |
巻番号(vol) | vol.121 |
号番号(no) | CS-14 |
ページ範囲 | pp.37-42(CS), |
ページ数 | 6 |
発行日 | 2021-05-06 (CS) |