Google Inc.

Georgia Tech Research Corporation

Other

Charmed Technology, Inc.

Electronics and Telecommunications Research Institute

Verily Life Sciences LLC

Charmed.com, Inc.

Thad Eugene Starner

Michael Patrick Johnson

Nirmal Jitendra Patel

Hayes Solos Raffle

Joshua L Weaver

Yong Zhao

Edward Allen Keyes

Bo Wu

Irfan Essa

Luis Ricardo Prada Gomez

Harvey Ho

Max Benjamin Braun

Liang-Yu (Tom) Chi

Gregory D Abowd

Mat Balez

Ryan M Geiss

Gabriel Taubman

Adrian Wong

Shumin Zhai

Zhong Lin Wang

Yao Ding

Babak Amirparviz

Bernard Charles Kress

Bradley J Rhodes

Chia-Jean Wang

Emmanouil Tentzeris

Josh Weaver

David Sparks

Maj Isabelle Olsson

Hartmut Neven

Brian Otis

Sebastian Thrun

Joshua N Haddock

Matthew Wyatt Martin

Nathan M Pletcher

Anurag Gupta

Clifford L Biffle

Alejandro Jose Kauffmann

Liang-Yu Tom Chi

Karissa A Sawyer

Greg Ellis Priest-Dorman

Jonathan B Moeller

Chi Kin Benjamin Leung

Jianyi Liu

Nidhi Rathi

Steven L Zhang

Seyedeh Fereshteh Shahmiri

Yi-Cheng Wang

Qiuyue Xue

Cliff L Biffle

Daniel M Aminzade

Omer T Inan

Mohit Gupta

Alexander Lightman

Ryan Bahr

Cheng Zhang

Diego Osorio

Zhengjun Wang

Peter McAughan

Anandghan Waghmare

Dhruva Bansal

Caitlyn Seim

Nivedita Arora

Christopher Richard Wren

Alex Olwal

Antonio Bernardo Monteiro Costa

Seth Taylor Raphael

Alex Paul Pentland

Rohan Ketan Shah

Hyung Cheol Shin

Kenneth B Russell

Sam D'Amico

Brian L Jordan

Thomas Ploetz

Seungyon Lee

Russell Eugene Hoffman

Hyung Sun Lee

Dan Ashbrook

Jackson Jarrell Pair

Xiaoxuan Wang

Yiming Pu

Pranav Kundra

Kenneth A Cunnefare

Chaoyu Chen

Shivan Mittal

Dingtian Zhang

Scott M Gilliland

Clint Zeagler

Exemplary systems and wearable haptic device systems are disclosed for training a user to improve perception or discrimination. An exemplary system can be used to train a user to play a musical instrument, such as a piano, in passive training sessions via a wearable haptic device. The exemplary wearable haptic device can be integrated with sensors and in operative communication with a passive haptic learning system (e.g., cloud-based infrastructure) that is configured to generate, update, and/or modify tactile training data for generating tactile outputs at the wearable haptic device.

Passive haptic training system and methods

This document describes techniques directed to a scalable gesture sensor for wearable and soft electronic devices. The scalable gesture sensor is integrated into an object such as a wearable garment or a large-surface embedded system to provide a touch-sensitive surface for the object. The sensor includes a repeated localized crossover pattern formed by the same few sensor lines, resulting in the same two conductive lines having multiple crossover points across the touch-sensitive surface. The repeated crossover pattern enables detection of the occurrence and relative direction of a swipe gesture based at least on a repeated sequence of capacitance changes over a set of conductive lines in the repeated crossover pattern. Also, the scalable gesture sensor is computationally simple, uses low power, and is uniquely scalable to cover a large area with few electrodes.

Scalable gesture sensor for wearable and soft electronic devices

Disclosed herein is a flexible sensing interface, comprising: a sensor, comprising: a core; an inner electrode in the form of a conductive material in contact with the core; an inner dielectric material substantially encasing the inner electrode; an outer electrode in the form of a conductive material in contact with the inner dielectric material and in electrical communication with the inner electrode; and an outer dielectric material substantially encasing the outer electrode; wherein the inner dielectric material and the outer dielectric material comprise an elastic material. Also disclosed herein are systems and methods for making and using the same.

Flexible sensing interface systems and methods

A method including receiving sound data captured by a wearable device of the user, the sound data indicative of contact between a first portion of the user wearing the wearable device and a second portion of the user wearing the wearable device; receiving motion data captured by the wearable device of the user, the motion data indicative of at least a movement of the first portion of the user wearing the wearable device; and determining, by a processor, based at least in part on the sound data and the motion data, a user input associated with the contact between a first portion of the user wearing the wearable device and a second portion of the user wearing the wearable device and the movement of the first portion of the user wearing the wearable device.

Systems, methods and devices for gesture recognition

This document describes techniques and devices for detecting twist input with an interactive cord. An interactive cord may be constructed with one or more conductive yarns wrapped around a cable in a first direction (e.g., clockwise), and one or more conductive yarns wrapped around the cable in a second direction that is opposite the first direction (e.g., counter-clockwise). A controller measures one or more capacitance values associated with the conductive yarns. In response to detecting a change in the one or more capacitance values, the controller determines that the change in the capacitance values corresponds to twist input caused by the user twisting the interactive cord. Then, the controller initiates one or more functions based on the twist input, such as by controlling audio to a headset by increasing or decreasing the volume, scrolling through menu items, and so forth.

Detecting twist input with an interactive cord

A vibration transducer for sensing vibrations includes a first flexible triboelectric member, a second flexible triboelectric member, a plurality of attachment points, a first electrode and a second electrode. The first flexible triboelectric member includes a first triboelectric layer and a material being on a first position on a triboelectric series. A conductive layer is deposited on the second side thereof. The second flexible triboelectric member includes a second triboelectric layer and a material being on a second position on the triboelectric series that is different from the first position on the triboelectric series. The second triboelectric member is adjacent to the first flexible triboelectric member. When the first triboelectric member comes into and out of contact with the second triboelectric member as a result of the vibrations, a triboelectric potential difference having a variable intensity corresponding to the vibrations can be sensed between the first and second triboelectric members.

Thin and flexible self-powered vibration transducer employing triboelectric nanogeneration

A portable electronic device including: a plurality of sensors configured to generate, in response to a first contact with a body of a user in a vicinity of the portable electronic device, one or more first input signals; a microprocessor; and a memory having stored thereon instructions that, when executed by the microprocessor, control the microprocessor to execute, in response to an analysis of the one or more first input signals indicating that the first contact corresponds to a first gesture, and by the microprocessor, a first command corresponding to the first gesture.

Electronic device and method of controlling same

This document describes authentication using an interactive cord. An interactive cord includes a cable, and a 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. The interactive cord can be used to authenticate a user. For example, rather than using a password entered into a computing device, a touch input pattern can be provided to interactive cord that is coupled to the computing device to authenticate the user.

Authentication using an interactive cord

Example methods and systems for determining correlated movements associated with movements caused by driving a vehicle are provided. In an example, a computer-implemented method includes identifying a threshold number of sets of correlated movements. The method further includes determining that the threshold number of sets of correlated movements is associated with movements caused by driving a vehicle. The method still further includes causing the wearable computing system to select a driving user interface for the wearable computing system.

Determining correlated movements associated with movements caused by driving a vehicle

Methods and devices for initiating a search of an object are disclosed. In one embodiment, a method is disclosed that includes receiving video data recorded by a camera on a wearable computing device, where the video data comprises at least a first frame and a second frame. The method further includes, based on the video data, detecting an area in the first frame that is at least partially bounded by a pointing device and, based on the video data, detecting in the second frame that the area is at least partially occluded by the pointing device. The method still further includes initiating a search on the area.

Object occlusion to initiate a visual search

An eye-mountable device including a lens including a polymeric material, the lens operable to be removably mounted over a corneal surface of an eye and to be compatible with a motion of an eyelid when the concave surface is so mounted; a sensor coupled to the lens and operable to provide output data indicative of whether an eyelid of an eye on which the lens is mounted is closed; and a display operable to display a light signal in response to the output data from the sensor that the eyelid is closed. A method including determining whether an eyelid of a wearer of an eye-mountable device is closed; and when an eyelid of a wearer is closed, sending a light signal from the eye-mountable device.

Eyes closed interface

Methods, apparatus, and computer-readable media are described herein related to biometric authentication. A first computing device can detect a machine-readable code displayed by a second computing device, where the machine-readable code can identify protected information viewable via the second computing device. In response to detecting the machine-readable code, the first computing device can acquire biometric data via one or more biometric sensors associated with the first computing device. Based at least in part on the biometric data, the first computing device can generate an authentication message that includes authentication information and identifies the protected information. The first computing device can then send the authentication message to an authentication server for verification of the authentication information, where verification of the authentication information can allow access to the protected information via the second computing device.

Password management

Growing community of inventors

Mountain View, CA, United States of America

Thad Eugene Starner