CN112689812A - 一种基于多天线的手势识别方法及装置 - Google Patents

一种基于多天线的手势识别方法及装置 Download PDF

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CN112689812A
CN112689812A CN201880097583.0A CN201880097583A CN112689812A CN 112689812 A CN112689812 A CN 112689812A CN 201880097583 A CN201880097583 A CN 201880097583A CN 112689812 A CN112689812 A CN 112689812A
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antenna
time
terminal
parameter
moment
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CN112689812B (zh
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杜帅乐
潘光胜
刘鹏举
张广煜
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/017Gesture based interaction, e.g. based on a set of recognized hand gestures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
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Abstract

本申请提供一种基于多天线的手势识别方法及装置,用于提高基于无线信号的手势识别的识别效率和适用性。所述方法应用于包括第一天线和第二天线的终端中,所述第一天线和所述第二天线的位置不同,所述方法包括:获取第一时刻,第一时刻是在第一天线的天线参数的波动值大于预设阈值时获取的;获取第二天线的第二时刻,第二时刻是在第二天线的天线参数的波动值大于所述预设阈值时获取的,第二时刻晚于第一时刻;根据第一时刻、第二时刻、第一天线和第二天线的位置,确定目标手势。

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PCT国内申请,说明书已公开。

Claims (20)

  1. PCT国内申请,权利要求书已公开。
CN201880097583.0A 2018-11-07 2018-11-07 一种基于多天线的手势识别方法及装置 Active CN112689812B (zh)

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PCT/CN2018/114391 WO2020093278A1 (zh) 2018-11-07 2018-11-07 一种基于多天线的手势识别方法及装置

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CN112689812B CN112689812B (zh) 2023-04-11

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Cited By (2)

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CN113902066A (zh) * 2021-08-26 2022-01-07 西北大学 一种语句级手语识别方法、系统、设备及终端
US20230176243A1 (en) * 2021-12-07 2023-06-08 Microsoft Technology Licensing, Llc Rf antenna scanning for human movement classification

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CN113900507A (zh) * 2020-07-06 2022-01-07 华为技术有限公司 手势识别方法和装置
CN112540717B (zh) * 2020-12-11 2022-05-31 维沃移动通信有限公司 触控方法、设备和存储介质
CN112765550B (zh) * 2021-01-20 2024-05-07 济南杰睿信息科技有限公司 一种基于Wi-Fi信道状态信息的目标行为分割方法

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US20170131395A1 (en) * 2014-06-25 2017-05-11 University Of Washington Devices, systems, and methods for detecting gestures using multiple antennas and/or reflections of signals transmitted by the detecting device
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WO2012087308A1 (en) * 2010-12-22 2012-06-28 Intel Corporation Touch sensor gesture recognition for operation of mobile devices
CN103793059A (zh) * 2014-02-14 2014-05-14 浙江大学 一种基于时域多普勒手势恢复识别方法
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Publication number Priority date Publication date Assignee Title
US20160054804A1 (en) * 2013-04-01 2016-02-25 Shwetak N. Patel Devices, systems, and methods for detecting gestures using wireless communication signals
KR20150006235A (ko) * 2013-07-08 2015-01-16 삼성전자주식회사 결합된 ui 구성 요소를 제공하는 휴대 장치 및 그 제어 방법
WO2015024121A1 (en) * 2013-08-23 2015-02-26 Blackberry Limited Contact-free interaction with an electronic device
US20170131395A1 (en) * 2014-06-25 2017-05-11 University Of Washington Devices, systems, and methods for detecting gestures using multiple antennas and/or reflections of signals transmitted by the detecting device
CN105260010A (zh) * 2014-07-17 2016-01-20 中兴通讯股份有限公司 一种确定手势轨迹的方法和电子设备
CN104615244A (zh) * 2015-01-23 2015-05-13 深圳大学 手势自动识别方法及系统
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113902066A (zh) * 2021-08-26 2022-01-07 西北大学 一种语句级手语识别方法、系统、设备及终端
US20230176243A1 (en) * 2021-12-07 2023-06-08 Microsoft Technology Licensing, Llc Rf antenna scanning for human movement classification
US11914093B2 (en) * 2021-12-07 2024-02-27 Microsoft Technology Licensing, Llc RF antenna scanning for human movement classification

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CN112689812B (zh) 2023-04-11
WO2020093278A1 (zh) 2020-05-14

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