Dell Products Inc.

Cisco Technology, Inc.

Striiv, Inc.

Biointellisense, Inc.

Trameto Limited

Agile Displays LLC

Google Inc.

Xerox Corporation

Cypress Semiconductor Corporation

Next Computer, Inc.

Wimm Labs, Inc.

Mark A Ross

Timothy Bucher

David Jonq Wang

Arthur A Van Hoff

Timothy Conrad Nichols

Eduardo Chan

Clare Lawson

Andreas V Bechtolsheim

James R Mault

Brian Arnold Petersen

David Mooring

Laurence Alan Strong

Henry Leung

Sam Jones

Robert Robertson

S Babar Raza

Anup Nayak

Michael F Gifford

Walter Francis Bridgewater, Jr

Jason Arthur Hilbourne

Arthur Anthonie Van Hoff

Timothy Thomas Sullivan

Sun-den Chen

Troy Edwards

Dimitris Pantelakis

Arvind Kansal

Zongde Qiu

Sachidanandan Sambandan

Conway Thomas Chen

Ronald Jen-Chuan Chwang

Guy Harriman

Arthur Joseph Swenson

A method to measure sound-producing behaviors of a subject with a power- and bandwidth-limited electronic device that includes a processor includes measuring, by a microphone communicatively coupled to the processor, sound in a vicinity of the subject to generate an audio data signal that represents the sound. The method also includes measuring, by at least one second sensor communicatively coupled to the processor, at least one parameter other than sound to generate at least a second data signal that represents the at least one parameter other than sound. The method also includes detecting one or more sound-producing behaviors of the subject based on: both the audio data signal and the second data signal; or information derived from both the audio data signal and the second data signal.

Sensor fusion to validate sound-producing behaviors

A method may include obtaining, by a radio receiver, radio signals from electronic sign labels (ESLs) in which each ESL of the plurality of ESLs is associated with a respective product in a shopping store and is configured to operate in a transmission modality on one or more radio frequency protocols. The method may include determining a location of each ESL based on the radio signals obtained from the plurality of ESLs and determining locations of one or more products based on the location of each of the ESLs and an association between each of the ESLs with the respective product. The method may include generating a planogram indicating the locations of the products.

Shopping store planning and operations using large-scale distributed radio infrastructure

A power management apparatuscomprises a first energy harvesting input channel; a first energy storage element connection; an inductor connection; and a switching circuit. A controlleris configured to operate the switching circuitto transfer energy between the first energy harvesting input channeland the first energy storage element connectionby a sequence of energy transfer cycles. Each of the energy transfer cycles comprises an energise phase in which energy is transferred from the first energy harvesting input channelto the inductor connectionfor an energise time (tE) and a de-energise phase. The first energy harvesting input channelis capable of receiving an AC electrical signal and a DC electrical signal. The controlleris configured to determine a type of an electrical signal received at the first energy harvesting input channel, where the type is one of an AC electrical signal and a DC electrical signal, and determine an energise time (tE) and a harvesting cycle period (tP) for the switching circuitbased on the determined type.

Power management apparatus for energy harvesting

A method to determine medication adherence may include detecting whether a wearable electronic device is in use. The method may include detecting one or more markers in sweat vapor of the user using a chemical marker sensor of the wearable electronic device. The method may include, in response to detecting that the system is in use, determining whether the user has taken a therapeutic agent that includes the one or more markers based on detecting the one or more markers in the sweat vapor.

Medication adherence and/or counterfeit detection wearable electronic device

A shopping store system may include one or more shelves in which each shelf includes one or more levels and one or more products placed on the shelves. Electronic sign labels (ESLs) may be included in the shopping store system in which each of the ESLs is located in a particular position corresponding to a respective product placed on the shelves. Each ESL may include a multi-protocol radio that is configured to operate in a reception modality, a transmission modality, or a transceiving modality. The ESLs may each include a display that is configured to provide information about the respective product to which each ESL corresponds. The shopping store system may include a computer system configured to receive information transmitted by and process information received by each of the ESLs.

A power management apparatuscomprises: a plurality of energy harvesting input channels-; a first energy storage element connection for connecting to an energy storage element; an inductor connection; and a switching circuit. A controlleroperates the switching circuit to transfer energy between the energy harvesting input channels-and the first energy storage element connectionby a sequence of energy transfer cycles. Each energy harvesting input channel-is allocated a plurality of the energy transfer cycles. The controllerdetermines operating parameters for operating the switching circuitwhich transfer a maximum power from the electrical energy harvesting source connected to the energy harvesting input channel and a maximum power inductor utilisation factor. The controllerdetermines a set of adjusted operating parameters for sharing use of the inductor between the plurality of energy harvesting input channels-. An energy harvesting input channel-is selected for adjustment based on an effect of a change in the inductor utilisation factor and a corresponding change in power of the energy harvesting input channel.

A system to determine medication adherence may include a chemical marker sensor, a verification sensor, and a processor. The chemical marker sensor may be configured to detect one or more markers in sweat vapor of a user. The verification sensor may be configured to detect whether the system is in use. The processor may be communicatively coupled to the chemical marker sensor and the verification sensor and may be configured to determine whether the user has taken a therapeutic agent that includes the one or more markers based on signals generated by the chemical marker sensor and the verification sensor.

A system to measure sweat vapor may include a skin contact sensor, a sweat vapor sensor, and a processor. The skin contact sensor may be configured to measure one or more aspects indicative of whether the measuring device is in contact with skin of a user of the measuring device. The sweat vapor sensor may be configured to measure one or more properties of sweat vapor of the user; and the processor may be communicatively coupled to the skin contact sensor and the sweat vapor sensor. The processor may be configured to confirm operation of the measuring device based on the one or more aspects measured by the skin contact sensor, and the sweat vapor sensor receiving the sweat vapor.

Operation-verifying wearable vapor sensor

A method to create autonomous decision logic (ADL) may include receiving a request to create the ADL. The request includes a selection of an input and a selection of an output. When executed by a client device, the ADL is configured to provide the output based at least partially on an identification of the input. The method further includes electronically packaging the input and the output to generate the ADL. The method includes sending the ADL via a transport layer to the client device for execution of the ADL on the client device. The client device is configured to generate encrypted data pertaining to the execution of the ADL. The method includes receiving, from the client device, the encrypted data pertaining to the execution of the ADL. The method further includes decrypting the encrypted data. The method includes presenting at least some of the decrypted data on a display.

Methods and systems for journaling and coaching using a wearable device

Fitness tracker wrist band

A wearable apparatus may include a sensor configured to identify a characteristic of the wearable apparatus. The wearable apparatus may also include an activity tracker configured to identify an activity of a tracked individual. The wearable apparatus may further include a memory. The wearable apparatus may include a processor operatively coupled to the memory. The processor may be configured to receive portable autonomous decision logic via a network and execute the portable autonomous decision logic. When executing the autonomous decision logic, the processor is configured to receive the characteristic via the sensor, receive the activity via the activity tracker; determine a state of the tracked individual based on at least one of the characteristic or the activity; and generate an output based on the state of the tracked individual.

Autonomous decision logic for a wearable device

A method to implement multifactor authentication of a user may include performing biometric authentication of a person that bears the wearable electronic device and at least one of: performing knowledge-based authentication of the person or presenting an access control token of the wearable electronic device to an access reader that performs token-based authentication of the person. Performing biometric authentication may include receiving a first biometric signal generated by a wearable electronic device and determining a person-specific biometric characteristic of the person therefrom; comparing the person-specific biometric characteristic to a user-specific biometric characteristic of the user determined from a second biometric signal generated when the wearable electronic device was born by the user; and based on the comparing, determining a confidence level that the person is the user to determine a positive or negative authentication of the person as the user.

Multifactor authentication through wearable electronic device

Fitness tracker

A user configurable interface view can be generated for a media device or other information handling system that is independent of any interface views defined by media content providers. Generating the user configurable interface view includes identifying content data streams that are included in user interface views defined by the media content providers and then selecting a desired subset of the data content streams. The selected data content streams are then aggregated and the user configurable interface view is generated. The resulting user interface view will be independent of any interface views defined by the media content providers.

User customizable views of multiple information services

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San Carlos, CA, United States of America

Mark A Ross