公开(公告)号：US09268136B1

公开(公告)日：2016-02-23

申请号：US13631454

申请日：2012-09-28

Applicant: Google Inc.

Inventor： Thad Eugene Starner ,  Michael Patrick Johnson

IPC: G09G5/00 ,  G02B27/01 ,  G06F3/01

CPC classification number: G01B7/00 ,  G01C17/02 ,  G01C19/00 ,  G01P15/00 ,  G02B27/0093 ,  G02B27/017 ,  G02B27/0179 ,  G02B2027/0178 ,  G02B2027/0187 ,  G06F3/011 ,  G06F3/017 ,  G06F3/0346 ,  G06F3/03547

Abstract: Methods and systems are described that involve a head-mountable display (HMD) or an associated device determining the orientation of a person's head relative to their body. To do so, example methods and systems may compare sensor data from the HMD to corresponding sensor data from a tracking device that is expected to move in a manner that follows the wearer's body, such a mobile phone that is located in the HMD wearer's pocket.

Abstract translation: 描述了涉及头戴式显示器（HMD）或相关装置的方法和系统，其确定人的头部相对于其身体的取向。 为此，示例性方法和系统可以将来自HMD的传感器数据与来自跟踪装置的相应传感器数据进行比较，该跟踪装置预期以跟随穿着者身体的方式移动，例如位于HMD佩戴者口袋中的移动电话。

公开(公告)号：US09207760B1

公开(公告)日：2015-12-08

申请号：US13630563

申请日：2012-09-28

Applicant: Google Inc.

Inventor： Bo Wu ,  Yong Zhao ,  Hartmut Neven ,  Hayes Solos Raffle ,  Thad Eugene Starner

IPC: G06F15/18 ,  G06N5/02 ,  G06N3/02 ,  G06F3/01 ,  G06K9/62 ,  G06K9/00 ,  G06N99/00 ,  G02B27/00 ,  G02B27/01

CPC classification number: G06F3/013 ,  G02B27/0093 ,  G02B2027/0187 ,  G06K9/00281 ,  G06K9/00288 ,  G06K9/00617 ,  G06K9/623 ,  G06K9/6231 ,  G06K9/6257 ,  G06K9/626 ,  G06K9/6263 ,  G06N99/005

Abstract: This disclosure involves proximity sensing of eye gestures using a machine-learned model. An illustrative method comprises receiving training data that includes proximity-sensor data. The data is generated by at least one proximity sensor of a head-mountable device (HMD). The data is indicative of light received by the proximity sensor(s). The light is received by the proximity sensor(s) after a reflection of the light from an eye area. The reflection occurs while an eye gesture is being performed at the eye area. The light is generated by at least one light source of the HMD. The method further comprises applying a machine-learning process to the training data to generate at least one classifier for the eye gesture. The method further comprises generating an eye-gesture model that includes the at least one classifier for the eye gesture. The model is applicable to subsequent proximity-sensor data for detection of the eye gesture.

Abstract translation: 本公开涉及使用机器学习模型进行眼睛手势的接近感测。 一种说明性方法包括接收包括接近传感器数据的训练数据。 数据由头戴式装置（HMD）的至少一个接近传感器产生。 数据表示由接近传感器接收的光。 在来自眼睛区域的光的反射之后，光被接近传感器接收。 当在眼睛区域执行眼睛手势时发生反射。 光由HMD的至少一个光源产生。 该方法还包括将机器学习过程应用于训练数据以生成用于眼睛手势的至少一个分类器。 该方法还包括生成包括用于眼睛手势的至少一个分类器的眼睛手势模型。 该模型适用于随后的接近传感器数据，用于检测眼睛手势。

公开(公告)号：US20150054747A1

公开(公告)日：2015-02-26

申请号：US13622279

申请日：2012-09-18

Applicant: Google Inc.

Inventor： Thad Eugene Starner ,  Nirmal Patel

IPC: G06F3/02

CPC classification number: G06F3/0219 ,  G06F1/163

Abstract: At least one embodiment takes the form of a computing device comprising a processor and a data storage comprising instructions that, if executed by the processor, cause the computing device to present a transition region and one or more input regions. Each input region comprises a respective symbol. The computing device further detects a movement through the transition region (i) originating from a first input region and (ii) exceeding a threshold movement. The computing device then receives an indication comprising the first-input-region symbol.

Abstract translation: 至少一个实施例采用包括处理器和数据存储器的计算设备的形式，数据存储器包括指令，如果由处理器执行，该指令使计算设备呈现过渡区域和一个或多个输入区域。 每个输入区域包括相应的符号。 计算设备还检测通过源自第一输入区域的过渡区域（i）的移动，以及（ii）超过阈值移动。 然后，计算设备接收包括第一输入区域符号的指示。

公开(公告)号：US08955973B2

公开(公告)日：2015-02-17

申请号：US13631594

申请日：2012-09-28

Applicant: Google Inc.

Inventor： Hayes Solos Raffle ,  Thad Eugene Starner ,  Josh Weaver ,  Edward Allen Keyes

IPC: A61B3/14 ,  A61B3/113 ,  G01B11/25 ,  G01B11/16 ,  A61F9/008 ,  G06F3/01

CPC classification number: A61B3/113 ,  A61F2009/00846 ,  G01B11/167 ,  G01B11/25 ,  G01B11/2513 ,  G06F3/013 ,  G06K9/00604 ,  G06K9/2036

Abstract: Exemplary methods and systems help provide for tracking an eye. An exemplary method may involve: causing the projection of a pattern onto an eye, wherein the pattern comprises at least one line, and receiving data regarding deformation of the at least one line of the pattern. The method further includes correlating the data to iris, sclera, and pupil orientation to determine a position of the eye, and causing an item on a display to move in correlation with the eye position.

Abstract translation: 示例性的方法和系统有助于跟踪眼睛。 示例性方法可以包括：将图案投影到眼睛上，其中图案包括至少一条线，并且接收关于图案的至少一条线的变形的数据。 该方法还包括将数据与虹膜，巩膜和瞳孔取向相关联以确定眼睛的位置，并使得显示器上的物体与眼睛位置相关地移动。

公开(公告)号：US08701050B1

公开(公告)日：2014-04-15

申请号：US13791418

申请日：2013-03-08

Applicant: Google Inc.

Inventor： Thad Eugene Starner ,  Nirmal Patel ,  Shumin Zhai

IPC: G06F3/033 ,  G06F3/01

CPC classification number: G06F3/04886 ,  G06F3/0237 ,  G06F3/04883 ,  G06F3/04895

Abstract: A computing device can be configured to receive an indication of a first input gesture, a first portion of the first input gesture indicating a first character key of a plurality of character keys of a graphical keyboard and a second portion of the first input gesture indicating a second character key of the plurality of character keys. The computing device also can be configured to determine, based at least in part on the first character key and the second character key, a candidate word. The computing device can be configured to output, for display at a region of a display device at which the graphical keyboard is displayed, a gesture completion path extending from the second character key. Further, the computing device can be configured to select, in response to receiving an indication of a second input gesture substantially traversing the gesture completion path, the candidate word.

Abstract translation: 计算设备可以被配置为接收第一输入手势的指示，第一输入手势的第一部分指示图形键盘的多个字符键的第一字符键，以及第一输入手势的第二部分， 多个字符键的第二字符键。 计算设备还可以被配置为至少部分地基于第一字符键和第二字符键确定候选词。 计算设备可以被配置为输出用于在显示图形键盘的显示设备的区域处显示从第二字符键延伸的手势完成路径。 此外，计算设备可以被配置为响应于接收到基本遍历手势完成路径的第二输入手势的指示来选择候选词。

公开(公告)号：US10047459B1

公开(公告)日：2018-08-14

申请号：US15418470

申请日：2017-01-27

Applicant: Google Inc.

Inventor： Thad Eugene Starner ,  Karissa A. Sawyer ,  Greg Ellis Priest-Dorman

IPC: H04R1/02 ,  D03D1/00 ,  G06F3/044 ,  G06F3/041 ,  G06F3/16 ,  D03D3/02

Abstract: This document describes interactive cords. An interactive cord includes a cable, and fabric cover that covers the cable. The fabric cover includes one or more conductive threads woven into the fabric cover to form one or more capacitive touchpoints which are configured to enable reception of touch input that causes a change in capacitance to the one or more conductive threads. A controller, implemented at the interactive cord or a computing device coupled to the interactive cord, can detect the change in capacitance and trigger one or more functions associated with the one or more capacitive touchpoints. For example, when implemented as a cord for a headset, the controller can control audio to the headset, such as by playing the audio, pausing the audio, adjusting the volume of the audio, skipping ahead in the audio, skipping backwards in the audio, skipping to additional audio, and so forth.

公开(公告)号：US10037682B1

公开(公告)日：2018-07-31

申请号：US14817697

申请日：2015-08-04

Applicant: Google Inc.

Inventor： Rohan Shah ,  Thad Eugene Starner

IPC: G08B25/10 ,  G08B25/12 ,  G08B25/01 ,  G08B21/02

CPC classification number: G08B25/10 ,  G08B21/02 ,  G08B21/0272 ,  G08B25/016 ,  G08B25/12 ,  G08B25/14

Abstract: A system, method, and device are provided for activating an emergency protocol when a weak point on a user device is compromised as a result of an applied stress. The system comprises the user device and its relationship with a network element. When the weak point on the user device undergoes stress and breaks, a distress signal is sent to the network element. The network element then proceeds to activate the emergency protocol which may include placing a call to an emergency response team.

公开(公告)号：US09466112B1

公开(公告)日：2016-10-11

申请号：US14885763

申请日：2015-10-16

Applicant: Google Inc.

Inventor： Thad Eugene Starner ,  Joshua Weaver

IPC: H04N5/232 ,  G06T7/00 ,  H04N5/262 ,  H04N5/225 ,  G02B27/01 ,  G06F3/01 ,  G06F17/30

CPC classification number: G06T7/0042 ,  G02B27/017 ,  G02B2027/0138 ,  G02B2027/014 ,  G02B2027/0178 ,  G06F3/013 ,  G06F17/30256 ,  G06F17/30268 ,  G06Q30/02 ,  H04N5/2253 ,  H04N5/23222 ,  H04N5/23293 ,  H04N5/23296 ,  H04N5/2628 ,  H04N7/181

Abstract: Methods and systems for intelligently zooming to and capturing a first image of a feature of interest are provided. The feature of interest may be determined based on a first interest criteria. The captured image may be provided to a user, who may indicate a level of interest in the feature of interest. The level of interest may be based upon to store the captured image and capture another image. The level of interest may be a gradient value, or a binary value. The level of interest may be based upon to determine whether to store the captured image, and if so, a resolution at which the captured image is to be stored. The level of interest may also be based upon to determine whether to zoom to and capture a second image of a second feature of interest based on the first interest criteria or a second interest criteria.

公开(公告)号：US09405977B2

公开(公告)日：2016-08-02

申请号：US14724524

申请日：2015-05-28

Applicant: Google Inc.

Inventor： Thad Eugene Starner ,  Irfan Essa

IPC: G06F3/033 ,  G06K9/00 ,  G02B27/01 ,  G06K9/52 ,  G06T19/00 ,  G06F3/01 ,  G06F3/038 ,  G06F3/03

CPC classification number: G06K9/00765 ,  G02B27/0172 ,  G02B2027/0178 ,  G06F3/011 ,  G06F3/017 ,  G06F3/0304 ,  G06F3/033 ,  G06F3/038 ,  G06K9/52 ,  G06T19/006

Abstract: Methods and devices for initiating a search are disclosed. In one embodiment, a method is disclosed that includes causing a camera on a wearable computing device to record video data, segmenting the video data into a number of layers and, based on the video data, detecting that a pointing object is in proximity to a first layer. The method further includes initiating a first search on the first layer. In another embodiment, a wearable computing device is disclosed that includes a camera configured to record video data, a processor, and data storage comprising instructions executable by the processor to segment the video data into a number of layers and, based on the video data, detect that a pointing object is in proximity to a first layer. The instructions are further executable by the processor to initiate a first search on the first layer.

Abstract translation: 公开了用于发起搜索的方法和装置。 在一个实施例中，公开了一种方法，其包括使可穿戴计算设备上的照相机记录视频数据，将视频数据分割成多个层，并且基于视频数据，检测指向对象接近于 第一层 该方法还包括在第一层上发起第一次搜索。 在另一个实施例中，公开了一种佩戴式计算设备，其包括被配置为记录视频数据的照相机，处理器和数据存储器，其包括可由处理器执行的指令，以将视频数据分割成多个层，并且基于视频数据， 检测到指向物体在第一层附近。 指令还可由处理器执行以在第一层上发起第一次搜索。

公开(公告)号：US09265415B1

公开(公告)日：2016-02-23

申请号：US13631333

申请日：2012-09-28

Applicant: Google Inc.

Inventor： Thad Eugene Starner ,  Bo Wu ,  Yong Zhao

IPC: A61B3/14 ,  A61B3/113

CPC classification number: A61B3/113 ,  A61B3/14

Abstract: Methods and systems that are described herein may help to dynamically utilize multiple eye-tracking techniques to more accurately determine eye position and/or eye movement. An exemplary system may be configured to: (a) perform at least a first and a second eye-tracking process; (b) determine a reliability indication for at least one of the eye-tracking processes; (c) determine a respective weight for each of the eye-tracking processes based at least in part on the reliability indication; (d) determine a combined eye position based on a weighted combination of eye-position data from the two or more eye-tracking processes, wherein the eye-position data from each eye-tracking process is weighted by the respectively determined weight for the eye-tracking process; and (e) carry out functions based on the combined eye position.

Abstract translation: 这里描述的方法和系统可以有助于动态地利用多个眼睛跟踪技术以更准确地确定眼睛位置和/或眼睛运动。 示例性系统可以被配置为：（a）执行至少第一和第二眼睛跟踪过程; （b）确定至少一个眼睛跟踪过程的可靠性指示; （c）至少部分地基于可靠性指示来确定每个眼睛跟踪过程的相应权重; （d）基于来自两个或更多个眼睛跟踪过程的眼睛位置数据的加权组合来确定组合的眼睛位置，其中来自每个眼睛跟踪过程的眼睛位置数据被分别确定的眼睛重量加权 跟踪过程; 和（e）基于组合的眼睛位置执行功能。