KR102229658B1 - 타입-애그노스틱 rf 신호 표현들 - Google Patents
타입-애그노스틱 rf 신호 표현들 Download PDFInfo
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Abstract
Description
도 1은, 타입-애그노스틱 RF 신호 표현들을 가능하게 하는 기법들이 구현될 수 있는 예시적인 환경을 예시한다. 그 환경은 1 내지 N개의 상이한 타입-특정 레이더 시스템들, 추상화 모듈 및 제스처 모듈을 예시한다.
도 2는 도 1의 추상화 모듈의 예를 상세히 예시한다.
도 3은 도 1의 제스처 모듈의 예를 상세히 예시한다.
도 4는, 타입-애그노스틱 RF 신호 표현들의 결정이 가능해질 수 있는 컴퓨팅 디바이스를 예시한다.
도 5는 타입-애그노스틱 RF 신호 표현들의 결정을 통하여 제스처 인식을 가능하게 하는 예시적인 방법을 예시한다.
도 6은 도 1의 예시적인 상이한 레이더 필드들을 예시한다.
도 7은 타입-애그노스틱 RF 신호 표현들을 구현하거나, 또는 이의 사용을 가능하게 하는 기법들을 구현할 수 있는 예시적인 컴퓨팅 시스템을 예시한다.
Claims (20)
- 장치로서,
하나 이상의 컴퓨터 프로세서들;
2 이상의 상이한 레이더 필드들을 제공하도록 구성된 하나 이상의 타입-특정 레이더 시스템들 ― 상기 2 이상의 상이한 레이더 필드들은 2 이상의 변조 방식들 또는 2 이상의 상이한 타입들의 레이더-방출 엘리먼트들을 통하여 제공되고, 상기 하나 이상의 타입-특정 레이더 시스템들은:
상기 2 이상의 상이한 레이더 필드들을 제공하도록 구성된 하나 이상의 레이더-방출 엘리먼트들, 및
2 이상의 상이한 반사 신호들을 수신하도록 구성된 하나 이상의 안테나 엘리먼트들을 포함하며, 상기 2 이상의 상이한 반사 신호들 각각은 상기 2 이상의 상이한 레이더 필드들 중 하나의 레이더 필드에서 움직이는 객체로부터 반사됨 ―; 및
상기 하나 이상의 컴퓨터 프로세서들에 의한 실행에 대한 응답으로, 추상화 모듈을 구현하는 명령들이 저장되어 있는 하나 이상의 컴퓨터-판독가능 저장 매체
를 포함하고,
상기 추상화 모듈은:
상기 하나 이상의 타입-특정 레이더 시스템들로부터, 상기 2 이상의 상이한 반사 신호들을 표현하는 상이한 타입들의 타입-특정 로우(raw) 데이터를 수신하고; 그리고
상기 상이한 타입들의 타입-특정 로우 데이터를 2 이상의 타입-애그노스틱(type-agnostic) 신호 표현들로 변환하도록 구성되며, 상기 2 이상의 타입-애그노스틱 신호 표현들 중 적어도 하나의 타입-애그노스틱 신호 표현은 상기 적어도 하나의 타입-애그노스틱 신호 표현에 대응하는 상기 2 이상의 상이한 레이더 필드들 중 적어도 하나의 레이더 필드 내에서 상기 객체의 제스처 또는 액션을 결정하기 위해 사용 가능하며,
상기 상이한 타입들의 타입-특정 로우 데이터의 상기 타입-애그노스틱 신호 표현들로의 변환은 산란 센터들의 세트로서 상기 객체의 모델을 사용하여 수행되고, 상기 산란 센터들 각각은 상기 객체의 각각의 부분에 대응하는,
장치. - 삭제
- 삭제
- 제 1 항에 있어서,
상기 산란 센터들 각각은 상기 객체의 각각의 부분의 형상, 크기, 면(aspect) 또는 재료에 따른 반사율을 가지는,
장치. - 제 1 항에 있어서,
상기 타입-애그노스틱 신호 표현들은 범위-도플러-시간 프로파일(range-Doppler-time profile), 범위-시간 프로파일, 마이크로-도플러 프로파일, 고속-시간 스펙트로그램(spectrogram), 또는 상기 타입-특정 로우 데이터로부터 결정된 복소수 신호 중 하나 이상을 포함하는,
장치. - 제 1 항에 있어서,
상기 2 이상의 상이한 레이더 필드들은 상기 2 이상의 변조 방식들을 통해 하나의 타입-특정 레이더 시스템에 의해 제공되는,
장치. - 제 1 항에 있어서,
상기 추상화 모듈은 상기 제스처 또는 액션을 결정하기 위해 상기 타입-애그노스틱 신호 표현들을 인식 모듈로 전달하도록 추가로 구성되는,
장치, - 장치로서,
하나 이상의 컴퓨터 프로세서들;
2 이상의 상이한 레이더 필드들을 제공하도록 구성된 하나 이상의 타입-특정 레이더 시스템들 ― 상기 2 이상의 상이한 레이더 필드들은 2 이상의 변조 방식들 또는 2 이상의 상이한 타입들의 레이더-방출 엘리먼트들을 통하여 제공되고, 상기 하나 이상의 타입-특정 레이더 시스템들은:
상기 2 이상의 상이한 레이더 필드들을 제공하도록 구성된 하나 이상의 레이더-방출 엘리먼트들, 및
2 이상의 상이한 반사 신호들을 수신하도록 구성된 하나 이상의 안테나 엘리먼트들을 포함하며, 상기 2 이상의 상이한 반사 신호들 각각은 상기 2 이상의 상이한 레이더 필드들 중 하나의 레이더 필드에서 움직이는 객체로부터 반사됨 ―; 및
상기 하나 이상의 컴퓨터 프로세서들에 의한 실행에 대한 응답으로, 인식 모듈을 구현하는 명령들이 저장되어 있는 하나 이상의 컴퓨터-판독가능 저장 매체
를 포함하고,
상기 인식 모듈은:
상기 2 이상의 상이한 반사 신호들을 표현하는 상이한 타입들의 타입-특정 로우 데이터로부터 변환된 2 이상의 타입-애그노스틱 신호 표현들을 수신하고,
상기 2 이상의 타입-애그노스틱 신호 표현들 중 적어도 하나의 타입-애그노스틱 신호 표현에 대해, 상기 적어도 하나의 타입-애그노스틱 신호 표현에 대응하는 상기 2 이상의 상이한 레이더 필드들 중 적어도 하나의 레이더 필드 내에서 상기 객체의 제스처 또는 액션을 결정하며, 그리고
결정된 제스처들 또는 액션들 각각을 상기 장치의 또는 상기 장치와 연관된 디스플레이, 기능, 또는 능력을 제어하거나 변경하는데 효과적인 상기 장치 상에서 실행하는 애플리케이션에 전달하도록 구성되며,
상기 인식 모듈은 제스처 분류, 모션 파라미터 추적, 회귀(regression) 추정, 또는 제스처 확률의 결정을 통하여 상기 제스처 또는 액션을 결정하도록 추가로 구성되는,
장치. - 제 8 항에 있어서,
상기 인식 모듈은 상기 타입-애그노스틱 신호 표현들로부터 타입-애그노스틱 특징들을 추출하도록 추가로 구성되는,
장치. - 제 9 항에 있어서,
상기 타입-애그노스틱 특징들은 신호 변환들, 엔지니어드(engineered) 특징들, 컴퓨터-비전 특징들, 머신-학습 특징들, 또는 추론된 타겟 특징들을 포함하는,
장치. - 삭제
- 제 8 항에 있어서,
상기 타입-애그노스틱 신호 표현들은 상기 타입-특정 로우 데이터를 수신하고 상기 타입-특정 로우 데이터를 상기 타입-애그노스틱 신호 표현들로 변환하도록 구성된 추상화 모듈로부터 수신되는,
장치. - 제 8 항에 있어서,
상기 타입-애그노스틱 신호 표현들은 범위-도플러-시간 프로파일, 범위-시간 프로파일, 마이크로-도플러 프로파일, 고속-시간 스펙트로그램, 또는 상기 타입-특정 로우 데이터로부터 결정된 복소수 신호 중 하나 이상을 포함하는,
장치. - 제 8 항에 있어서,
상기 레이더 필드들은 상기 2 이상의 변조 방식들을 통해 하나의 타입-특정 레이더 시스템에 의해 제공되는,
장치. - 장치로서,
적어도 하나의 컴퓨터 프로세서;
레이더 필드를 제공하도록 구성된 타입-특정 레이더 시스템 ― 상기 레이더 필드는 변조 방식 또는 하나의 타입의 레이더-방출 엘리먼트를 통하여 제공되고, 상기 타입-특정 레이더 시스템은:
상기 레이더 필드를 제공하도록 구성된 적어도 하나의 레이더-방출 엘리먼트, 및
상기 레이더 필드에서 움직이는 객체로부터의 상기 레이더 필드의 반사에 의해 야기된 반사 신호를 수신하도록 구성된 적어도 하나의 안테나 엘리먼트를 포함함 ―; 및
상기 컴퓨터 프로세서에 의한 실행에 대한 응답으로, 인식 모듈을 구현하는 명령들이 저장되어 있는 적어도 하나의 컴퓨터-판독가능 저장 매체
를 포함하고,
상기 인식 모듈은:
상기 반사 신호를 표현하는 타입-특정 로우 데이터로부터 변환된 타입-애그노스틱 신호 표현을 수신하고 ― 상기 타입-애그노스틱 신호 표현은 범위-도플러-시간 프로파일, 범위-시간 프로파일, 마이크로-도플러 프로파일, 고속-시간 스펙트로그램, 또는 복소수 신호 중 하나 이상을 포함함 ―,
상기 타입-애그노스틱 신호 표현에 대해, 상기 레이더 필드 내에서 상기 객체의 제스처 또는 액션을 결정하고, 그리고
결정된 제스처 또는 액션을 상기 장치의 또는 상기 장치와 연관된 디스플레이, 기능, 또는 능력을 제어하거나 변경하는데 효과적인 상기 장치 상에서 실행하는 애플리케이션에 전달하도록 구성되며,
상기 장치는 스마트폰, 컴퓨팅 시계, 테블릿, 컴퓨팅 반지, 또는 컴퓨팅 안경인,
장치. - 제 15 항에 있어서,
상기 인식 모듈은 상기 타입-애그노스틱 신호 표현으로부터 신호 변환, 엔지니어드 특징, 컴퓨터-비전 특징, 머신-학습 특징, 또는 추론된 타겟 특징들을 추출하도록 추가로 구성되는,
장치. - 제 15 항에 있어서,
상기 인식 모듈은 제스처 분류, 모션 파라미터 추적, 회귀 추정, 또는 제스처 확률의 결정을 통하여 상기 제스처 또는 액션을 결정하도록 추가로 구성되는,
장치. - 제 15 항에 있어서,
상기 타입-애그노스틱 신호 표현은 상기 타입-특정 로우 데이터를 수신하고 상기 타입-특정 로우 데이터를 상기 타입-애그노스틱 신호 표현으로 변환하도록 구성된 추상화 모듈로부터 수신되는,
장치. - 제 18 항에 있어서,
상기 명령들은 추가로, 상기 컴퓨터 프로세서에 의한 실행에 대한 응답으로, 추상화 모듈을 구현하는,
장치. - 제 1 항 또는 제 8 항에 있어서,
상기 장치는 스마트폰, 컴퓨팅 시계, 테블릿, 컴퓨팅 반지, 또는 컴퓨팅 안경인,
장치.
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KR20170132191A (ko) | 2017-12-01 |
WO2016176606A1 (en) | 2016-11-03 |
JP6816201B2 (ja) | 2021-01-20 |
KR102327044B1 (ko) | 2021-11-15 |
JP6517356B2 (ja) | 2019-05-22 |
KR20190097316A (ko) | 2019-08-20 |
KR20210030514A (ko) | 2021-03-17 |
US20160320854A1 (en) | 2016-11-03 |
US10310620B2 (en) | 2019-06-04 |
CN107466389A (zh) | 2017-12-12 |
CN107466389B (zh) | 2021-02-12 |
KR102011992B1 (ko) | 2019-08-19 |
EP3289433A1 (en) | 2018-03-07 |
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