公开(公告)号：US09971414B2

公开(公告)日：2018-05-15

申请号：US14779946

申请日：2014-04-01

Applicant: University of Washington Through Its Center For Commercialization

Inventor： Shyamnath Gollakota ,  Shwetak N. Patel ,  Qifan Pu ,  Sidhant Gupta

IPC: G06F13/28 ,  G06F3/01

CPC classification number: G06F3/017 ,  G06F13/28

Abstract: Examples of systems, devices, and methods are described herein that can provide for gesture recognition. Wireless communication signals are received from sources in an environment (e.g. cellular telephones, computers, etc.). Features of the wireless communication signals (e.g. Doppler shifts) are extracted and utilized to identify gestures. The use of wireless communication signals accordingly make possible gesture recognition in a whole-home environment that identifies gestures performed through walls or other obstacles.

公开(公告)号：US20150233998A1

公开(公告)日：2015-08-20

申请号：US14696236

申请日：2015-04-24

Applicant: UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION

Inventor： Ke-Yu Chen ,  Gabriel A. Cohn ,  Sidhant Gupta ,  Shwetak N. Patel

IPC: G01R31/08 ,  G01R31/00 ,  G01R29/08

CPC classification number: G01R31/086 ,  G01R29/0814 ,  G01R31/001 ,  G06F3/017 ,  G06F3/041 ,  G06F3/04883

Abstract: Systems and methods for sensing environmental changes using electromagnetic interference (EMI) signals are disclosed herein. An EMI monitoring system may be used to monitor an EMI signal of one or more EMI signal sources provided over a power line, e.g., in a home or building. The received EMI energy at the power line may be analyzed to detect variations in the EMI signature indicative of environmental changes occurring in the proximity of the signal sources. Examples include detection of gestures on or near liquid crystal displays using EMI signals generated by internal operation of the liquid crystal displays.

Abstract translation: 本文公开了使用电磁干扰（EMI）信号来感测环境变化的系统和方法。 可以使用EMI监测系统来监视在电力线上提供的一个或多个EMI信号源的EMI信号，例如在家庭或建筑物中。 可以分析电力线处接收到的EMI能量，以检测指示在信号源附近发生的环境变化的EMI标志中的变化。 示例包括使用由液晶显示器的内部操作产生的EMI信号来检测液晶显示器上或附近的手势。

公开(公告)号：US20140375352A1

公开(公告)日：2014-12-25

申请号：US14345197

申请日：2012-09-14

Applicant: University of Washington through its Center for Commercialization

Inventor： Shwetak N. Patel ,  Sidhant Gupta ,  Matthew S. Reynolds

IPC: G01R29/08 ,  G01R31/00

CPC classification number: G01R29/0885 ,  G01R29/0814 ,  G01R31/001 ,  G01R31/086

Abstract: Systems and methods for sensing environmental changes using electromagnetic interference (EMI) signals are disclosed herein. An EMI monitoring system may be used to monitor an EMI signal of one or more light sources provided over a power line, e.g., in a home or building. The received EMI energy at the power line may be analyzed to detect variations in the EMI signature indicative of environmental changes occurring in the proximity of the light sources. Environmental changes that may be sensed include, but are not limited to, proximity, touch, motion, and temperature change.

Abstract translation: 本文公开了使用电磁干扰（EMI）信号来感测环境变化的系统和方法。 EMI监测系统可以用于监测在电力线上提供的一个或多个光源的EMI信号，例如在家庭或建筑物中。 可以分析在电力线处接收到的EMI能量，以检测指示在光源附近发生的环境变化的EMI标志的变化。 可能感测到的环境变化包括但不限于接近，触摸，运动和温度变化。

公开(公告)号：US20160054804A1

公开(公告)日：2016-02-25

申请号：US14779946

申请日：2014-04-01

Applicant: Shwetak N. PATEL ,  Qifan PU ,  Sidhant GUPTA ,  UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION

Inventor： Shyamnath Gollakata ,  Shwetak N. Patel ,  Qitan Pu ,  Sidhant Gupta

IPC: G06F3/01

CPC classification number: G06F3/017 ,  G06F13/28

Abstract: Examples of systems, devices, and methods are described herein that may provide for gesture recognition. Wireless communication signals may be received from sources in an environment (e.g. cellular telephones, computers, etc.). Features of the wireless communication signals (e.g. Doppler shifts) may be extracted and utilized to identify gestures. The use of wireless communication signals may accordingly make possible gesture recognition in a whole-home environment that may identify gestures performed through walls or other obstacles.

Abstract translation: 本文描述了可以提供手势识别的系统，设备和方法的示例。 可以在环境（例如蜂窝电话，计算机等）中的来源接收无线通信信号。 无线通信信号的特征（例如，多普勒频移）可被提取并用于识别手势。 因此，使用无线通信信号可以在整个家庭环境中进行可能的手势识别，其可以识别通过墙壁或其他障碍物执行的手势。