Motorola Mobility LLC

Google Inc.

Motorola Corporation

Amazon Technologies, Inc.

Other

Motorla, Inc.

Google Technology Holdings LLC

Rachid M Alameh

John Joseph Gorsica

Jarrett K Simerson

Patrick J Cauwels

Zhengping Ji

Thomas Y Merrell

Paul R Steuer

Jiri Slaby

Kenneth Allen Paitl

Eric LeRoy Krenz

Thomas E Gitzinger

Timothy Dickinson

Robert A Zurek

Robert S Witte

Amit Kumar Agrawal

William Paul Alberth, Jr

Bruce C Eastmond

William S Hede

Roger William Ady

Aaron L Dietrich

David R Zeiger

Michael E Russell

Yi Wu

Michael W Schellinger

Alvin J Von Ruff

Martin Rabindra Pais

Maninder Singh Sehmbey

David G Fliszar

Amitkumar N Balar

John Henry Krahenbuhl

David P Winkler

Jun Jiang

James Patrick Ashley

Kevin J McDunn

Mark A Barabolak

Thomas Edward Gitzinger

Louis Jay Vannatta

Phillip D Rasky

Thomas J Walczak

Hisashi David Watanabe

Christopher S Gremo

Robert T Love

Paul M Pierce

Gaurav Gupta

Michael L Charlier

Hugh Kennedy Smith

Giles T Davis

S David Silk

Eric Le Roy Krenz

Mark R Lemke

Stephen O'Dea

Andrew A Efanov

Jyothsna Bandameedipalli

Paul B Crosbie

James Wylder

Iqbal Arshad

Gregory Redmond Black

Thomas A Freeburg

Julio C Castaneda

James P Phillips

Frederick Hershel Savage

Steve C Emmert

Gopi Prashanth Gopal

Olivier David Meirhaeghe

Greg R Black

Michael P Metroka

Mark W Oliver

Jerome O Vogedes

William R Groves

Jason P Wojack

Lawrence Alan Willis

Fan He

Kevin W Jelley

Michael David McLaughlin

Andrew K Wells

Francis W Forest

Satyabrata Rout

Justin Eltoft

Sen Yang

Richard Stanley Rachwalski

Jin D Kim

David B Cranfill

Thomas John Pack

Christian Flowers

Chris J Grivas

Kathryn Ellen Thomas

Joel D Voss

Balaji Thiagarajan

Craig J Detter

Donald L Linder

Sheila M Rader

Daniel J Sadler

Nathan Connell

Renuka Prasad Herur Rajashekaraiah

Chad Austin Phipps

Andre David Brown

Roger L Scheer

Jenna Marie Zylema

Francis P Malaspina

Srikanth Raju

An apparatus for use at an inventory location stowing items comprises an array of sensor elements. Each sensor element comprises a plurality of conductive elements that are driven as a self-capacitance sensor. Based on changes in capacitance values, interactions between a lane and user may be determined. The conductive elements may be selectively addressed to provide various physical resolutions and operational configurations. Some geometries of conductive elements provide information about position of an interaction along a long axis of the lane, as well as presence of items in the lane. The sensor element may include three conductors, stacked atop one another and separated by an insulator. To compensate for temperature and other effects, these the outermost conductors are grounded, and innermost conductor is driven. The array may be implemented on a rigid or flexible substrate. The array operates reliably in the presence of water condensation or small spills.

Self-capacitive sensor apparatus

This disclosure describes, in part, devices and methods for deactivating tags. For instance, an electronic device may include antennas that transmit signals and/or fields for deactivating the tags. In some examples, the electronic device includes a first gate that includes a first portion of the antennas and a second gate that includes a second portion of the antennas. To deactivate the tags, the electronic device may detect locations of an object relative to the electronic device. The electronic device may then activate a respective tag and/or a respective group of tags based on the location of the object. For example, the electronic device may activate a first tag and/or a first group of tags when the object is at a first location, activate a second tag and/or a second group of tags when the object is at a second location, and/or so forth.

Devices and techniques for deactivating tags

A wearable electronic device includes one or more processors identifying one or more companion electronic devices operating within a wireless communication radius of the wearable electronic device. One or more sensors identify the wearable electronic device being within a predefined distance of a companion electronic device. A wireless communication circuit, responsive to the one or more processors, delivers an authentication credential to the companion electronic device in response to the one or more sensors identifying that the wearable electronic device is within the predefined distance of the companion electronic device. The one or more sensors thereafter detect a gaze of an authorized user of the wearable electronic device being directed at the companion electronic device, where the wireless communication circuit delivers an actuation command to the companion electronic device.

Electronic devices with proximity authentication and gaze actuation of companion electronic devices and corresponding methods

Techniques for subtask assignment for an artificial intelligence (AI) task are described, and may be implemented to leverage a local set of devices to distribute portions of an AI task between the devices. Generally, the described techniques enable AI task allocation based on a variety of factors, such as device capabilities, device availability, task complexity, and so forth.

Subtask assignment for an artificial intelligence task

This disclosure describes, in part, a mobile apparatus for identifying items within a facility using an omnidirectional imaging system. For instance, the mobile apparatus may include a main frame, a chassis attached to the main frame, a basket that attaches to the chassis in order to prevent the basket from contacting the main frame, and an omnidirectional imaging system providing image data in and around the mobile apparatus. A user may place item(s) within a receptacle of the basket. The mobile apparatus may further include a handlebar module attached to the main frame, the handlebar module including the omnidirectional imaging system and a computing system for identifying items and events in and around the cart.

Capacitive sensor for item identifying mobile apparatus

A user can customize (also referred to as train) an AI module, which includes any of a variety of machine learning systems. The AI module can be used by the device on which the AI module is trained or can be communicated to other devices in the same environment (e.g., the same home). The AI module can also be communicated in a secure and private manner to a device in another environment (e.g., another user's home). To do so, the AI module is encrypted and added to a blockchain, and the blockchain is communicated via a peer-to-peer network to the device in the other environment. The recipient of the blockchain can then decrypt the AI module and use the AI module in that other environment, including further training the AI module for use in that other environment.

Securely communicating and customizing artificial intelligence modules

A wearable device enables access to VPN endpoint devices for secure data communication and privacy for a computing device. The wearable device stores VPN configuration information for a user, which includes the user's VPN credentials for each of one or more remote VPN endpoint devices. When the wearable device is in close proximity to a computing device and is being worn by a user that is authenticated to at least one of the wearable device and the computing device, the wearable device communicates the configuration information to the computing device. The computing device can then use this VPN configuration information to establish a VPN connection to a VPN endpoint device.

Controlling computing device virtual private network usage with a wearable device

This disclosure describes, in part, a mobile apparatus that includes capacitive sensor(s) for detecting the presence of a user. For instance, the mobile apparatus, such as a shopping cart, may include capacitive sensor(s) located proximate to a main frame, the handles, and/or the wheel frame. The mobile apparatus may use one or more of these capacitive sensor(s) to determine that the user is located proximate to the mobile apparatus, in contact with the mobile apparatus, and/or located over the main frame of the mobile apparatus. In some examples, the mobile apparatus may then perform one or more actions based on the presence of the user. For example, the mobile apparatus may activate and/or deactivate one or more devices based on the presence of the user. This way, the mobile apparatus is able to conserve power by using the capacitive sensor(s) to detect the present of the user.

Apparatus with presence detection sensors

A change in the emotional state of a user of a device is detected, and in response to this change a reason for the change in user emotional state is determined. This determination is made based on both the current user emotional state and context data for the device or user. The device then adapts to the user based on the current emotional state and the reason for the change in user emotional state. This adaptation of the computing device refers to an alteration of the operation of the computing device with a goal of increasing the likelihood of the user being in a good emotional state (e.g., happy, relaxed) and reducing the likelihood of the user being in a bad emotional state (e.g., sad, angry).

Adapting a device to a user based on user emotional state

An electronic device has pair(s) of conductive plates that is coupled to a housing and is electrically isolated by a dielectric material. The pair(s) of conductive plates is positioned to change relative orientation in relation to mechanical force that deforms the housing. Capacitive driver(s) is electrically coupled to pair(s) of conductive plates. A controller is communicatively coupled to the capacitive driver(s). The controller identifies a first capacitance of the pair(s) of conductive plates associated with the housing being in a normal state. The controller detects, via the capacitor driver(s), a change in capacitance from the first capacitance to a second capacitance of the pair(s) of conductive plates. The controller compares the change in capacitance to a threshold. In response to the change exceeding the threshold, the controller generates a notification.

Electronic device having capacitance-based force sensing

Techniques for artificial intelligence (AI) modules for computation tasks are described, and may be implemented to enable multiple AI modules to be aggregated to form an execution structure (e.g., an execution chain) for performing a computation task. Generally, the described techniques aggregate AI modules based on their respective functions to perform an overall computation task.

Artificial intelligence modules for computation tasks

An electronic device includes a device housing and one or more displays presenting one or more user actuation targets defining one or more virtual buttons in a predefined arrangement relative to a first end of the device housing. One or more sensors detect a condition of the electronic device, such as an approaching object, change in the direction of gravity, or an object tapping or pushing the electronic device. One or more processors cause, in response to the one or more sensors detecting the condition, the one or more displays to present the one or more user actuation targets defining the one or more virtual buttons in another predefined arrangement that is different from the predefined arrangement.

Methods and systems for altering virtual button arrangements presented on one or more displays of an electronic device

To ensure that an electronic device is a secure electronic device, a communication device transmits a request to authenticate the electronic device to a remote electronic device across a network. The communication device receives a security challenge. One or more processors of the electronic device obtain a response to the security challenge using a secret key stored in an encrypted memory of the electronic device. The communication device then transmits the response to the response to the security challenge to the remote electronic device. If the remote electronic device recognizes the response, it transmits a shared secret content marker, which can optionally be presented at a user interface of the electronic device. The request can be automatically initiated by a companion electronic device.

Electronic devices and corresponding methods for verifying device security prior to use

An electronic device includes a capacitive driver that is electrically coupled to a pair of conductive plates coupled to a housing and electrically isolated by a dielectric material. The conductive plates are positioned to change relative orientation in relation to deformation of the housing in a first direction. A controller identifies a first capacitance of the pair of conductive plates associated with the housing being in a normal alignment relative to the first direction. The controller presents an object on a user interface device in a first kinematic state. The controller detects, via the first capacitor driver, a change in capacitance from the first capacitance to a second capacitance of the pair of conductive plates. The controller associates the change to a first user input. The controller presents the object on the user interface device in a second kinematic state based on the first user input.

Electronic device having capacitance-based force sensing for user interface input

A determination is made as to when two computing devices are in the presence of each other, also referred to as the two computing devices being colocated. This determination is made based on wireless location signals received at the two computing devices as well as environment data sensed by the two computing devices. The computing devices determine whether they are in the presence of each other and enable multi-device engagement in response to determining that the two computing devices are in the presence of each other.

Device presence detection system

Growing community of inventors

Schaumburg, IL, United States of America

Rachid M Alameh