公开(公告)号：US20160259421A1

公开(公告)日：2016-09-08

申请号：US15028402

申请日：2014-10-08

Applicant: UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION

Inventor： Shyamnath Gollakota ,  Bryce Kellogg ,  Vamsi Talla ,  Rajalakshmi Nandakumar

IPC: G06F3/01 ,  H04M1/725 ,  H04W24/02 ,  G06F3/16

CPC classification number: G06F3/017 ,  G06F3/011 ,  G06F3/03 ,  G06F3/165 ,  H04M1/72558 ,  H04W24/02

Abstract: Example devices, systems, and methods described herein extract gesture information from wireless signals. Examples described herein may extract gesture information from changes in the magnitude of the amplitude of the received wireless signals, or portions of the received wireless signals (e.g., channel state information, RSSI information, RCPI information). Time-domain classification of gestures may proceed based on the amplitude changes. In this manner, sufficiently low power operation may be achieved to enable “through-the-pocket” gesture recognition on mobile devices in some examples.

Abstract translation: 本文描述的示例性设备，系统和方法从无线信号提取手势信息。 本文描述的示例可以从接收的无线信号的幅度或接收的无线信号的部分（例如，信道状态信息，RSSI信息，RCPI信息）的幅度的变化中提取手势信息。 手势的时域分类可以根据幅度变化进行。 以这种方式，可以实现足够低的功率操作，以在一些示例中实现移动设备上的“通过口袋”手势识别。