The Procter & Gamble Company

Stmicroelectronics Gmbh

The Gillette Company

Corium International, Inc.

Stmicroelectronics S.r.l.

Stmicroelectronics International N.v.

Duracell U.S. Operations, Inc.

Braun Gmbh

Stmicroelectronics Asia Pacific Pte Limited

Michigan State University

Other

Duravell U.S. Operations, Inc.

Faiz Feisal Sherman

Vladimir Gartstein

Stephan Gary Bush

Thomas Elliot Rabe

Dana Paul Gruenbacher

Simon Dodd

Jonathan Livingston Joyce

Stephan James Andreas Meschkat

Dave Hunt

Steven Jeffrey Specht

Grover David Owens

Joe Scheffelin

Jordan Todorov Bourilkov

Xiaole Mao

Vadim Vladimirovich Yuzhakov

Ian Anthony Good

Sergio Coronado Hortal

Grant Edward Anders Striemer

Mathias Amann

Balasundram Periasamy Amavasai

Nancy Taylor Dempsey

Karen Coltharp McGinnis

Elizabeth Jane Wenzel

Thomas Eliott Rabe

Teck Khim Neo

David Salloum Salloum

Matthew Lloyd Barker

Daniel Jonathan Quiram

Matt Giere

Erik John Hasenoehrl

Robert Thomas Hinkle

Francisco Arias

Mattias Schmidt

Joseph Edward Scheffelin

Blanca Arizti

David S Hunt

Janette Villalobos Lingoes

Susan Clare Robinson

Steve G Bush

Ankur Purwar

Sergiy Minko

Raghunandan Melkote Kainkaryam

Mikhail Motornov

Ted De Castro

Kenneth Lee Morand

Robert Lupitskyy

Donald Carroll Roe

Domenico Giusti

Gayle Marie Frankenbach

Steven L Webb

Dragan Danilo Nebrigic

Roberto Brioschi

Brandon Ellis Wise

Dennis Eugene Kuhlman

Christian Peter Mandl

Todd Michael Wernicke

Ming Qi

Jiahui Li

Jeffrey Nanzer

Yanyan He

Vladimir Garstein

Scott Alan Hayes

Werner Friedrich Johann Bonifer

Nicola John Policicchio

Brian Lee Floyd

Philip Andrew Sawin

Chow-Chi Huang

Dennis Ray Bacon

Hiroshi Oh

Jun Xu

Roy Nicoll

Kai-Ju Cheng

Matthias Gester

Matthew Scott Wagner

William Paul Mahoney, Iii

Matthew Stephen Bauer

Kemal Vatansever Catalan

William Fitler Morris

Jonathan Michael Martin

Melissa Ann Kreuzer

Andrea Nicola Colecchia

Herman William Meyer

Milan Marcel Jevtitch

David Burton Moore

Yu-Cheng Chien

Stephen Casperson

Kate Budds

Shao-Ang Chen

Helen Rochelle Kemp

Jim Allen McCurdy

Kendal William Kerr

Carolyn Ann Spitzmueller

Thomas Arthur Sturgis

Jeremy Michael Carter

Michael Frederick Niebauer

Paul Vernon

Timothy James Hoekstra

Justin Gregory Parker

Amirhossein Tavanaei

Jia-Chyi Wang

Digital image stitching systems and methods are disclosed herein for generating one or more panoramic image views. A plurality of digital images depicting a target feature within an application area are captured by a camera of a scanner device. Motion data is captured, by a sensor coupled to the scanner device, as the scanner device moves relative to the target feature, where relative position data, corresponding to the plurality of digital images, is determined based on the motion data. An angle or position is generated for a first image relative to a second image of the plurality of images, and, based on image matching of the angle or the position of the second image with respect to the first image, a panoramic image view is generated depicting the target feature in a wider field of view of the application area than either the first image or the second image.

Digital image stitching systems and methods for generating one or more panoramic image views

An apparatus for performing a localization of a movable treatment device having at least one inertial sensor and configured to treat the target surface. The apparatus has a motion pattern classification device configured to discriminate between two or more motion classes contained in a set of motion classes, and an interface for providing, from the inertial sensor to the motion pattern classification device, inertial sensor data representing a movement of the movable treatment device. The motion pattern classification device has a neural network configured to receive and classify inertial sensor data with respect to the motion classes associated with one or more different zones relating to the target surface so that the classification of inertial sensor data indicates an estimation of the location of the movable treatment device with respect to the one or more zones of the target surface.

Apparatus and method for performing a localization of a movable treatment device

Oral care based imaging computer-implemented systems and methods for analyzing attributes of a facial image portion of at least one person depicted in a digital image. An oral care digital imaging computer-implemented method for analyzing a facial image portion of a person depicted in a digital image may include analyzing the facial image portion for positive and negative attributes as defined by pixel data of the digital image and generating a probability value based on the positive and negative attributes in the facial image portion in the digital image.

Oral care based digital imaging systems and methods for analyzing attributes of a facial image portion

A method and an apparatus for performing a localization of a movable treatment device having an inertial sensor and configured to treat a target surface. A motion pattern recognition device discriminates between two or more motion patterns contained in a set of motion patterns. An interface provides at least one inertial sensor data from the inertial sensor to the motion pattern recognition device. At least one inertial sensor data represents a movement of the movable treatment device. A neural network is configured to receive the at least one inertial sensor data and to map the at least one inertial sensor data to at least one motion pattern contained in the set of motion patterns associated with one or more different zones of the target surface so that the mapping of the at least one inertial sensor data with the at least one motion pattern indicates an estimation of the location of the device with respect to at least one zone of the target surface.

An apparatus for classifying the motion of a movable treatment device having at least one inertial sensor, a motion pattern classification device configured to discriminate between two or more motion classes contained in a set of motion classes of the movable treatment device, and an interface for providing inertial sensor data from the inertial sensor to the motion pattern classification device. The inertial sensor data represents a movement of the movable treatment device, wherein the motion pattern classification device comprises at least one neural network configured to receive and classify the inertial sensor data with respect to the motion classes contained, each associated with at least one class member selected based on the motion of the movable treatment device.

Apparatus and method for classifying the motion of a movable treatment device

A system for classifying the usage of a handheld consumer device having a sensor and an analyzer. The sensor determines usage data at successive time instants and provides a temporally successive sequence of usage data during a usage session. The analyzer classifies the usage of the device with respect to at least one set usage classes and assembles a temporally successive sequence of input tuples of usage data relating to a predetermined time period of the usage session, each of the input tuples having at least one element representing the usage data at the respective time instant and for inputting the sequence of input tuples into at least one artificial neural network arranged to output at least one output tuple comprising a number of elements in accordance with the number of usage classes, each element of the output tuple representing a prediction value that the usage of the consumer device at the given time instant relates to a respective usage class.

System for classifying the usage of a handheld consumer device

Oral care based imaging computer-implemented systems and methods for determining perceived attractiveness of a facial image portion of at least one person depicted in a digital image. The method has the following steps:

Oral care based digital imaging systems and methods for determining perceived attractiveness of a facial image portion

A system and method for operating a personal grooming/household appliance, including: providing a personal grooming/household appliance including at least one physical sensor taken from a group consisting of: an orientation sensor, an acceleration sensor, an inertial sensor, a global positioning sensor, a pressure sensor, and a load sensor, audio sensor, humidity sensor, and a temperature sensor; providing a camera associated with the personal grooming/household appliance; classifying data received from the physical sensor and from the camera using at least one trained machine learning classifier to generate an augmented classification; and providing user feedback information based upon the augmented classification or modifying operation of the grooming/household appliance based upon the augmented classification.

Apparatus and method for operating a personal grooming appliance or household cleaning appliance

Included are embodiments for remotely determining a battery characteristic. Some embodiments include searching for a first wireless signal that identifies the energy storage device and, in response to receiving the first wireless signal, determining a current charge level of the energy storage device. Some embodiments include receiving a second wireless signal from the energy storage device, determining from the second wireless signal, whether the current charge level of the energy storage device reaches a predetermined threshold, and in response to determining that the current charge level of the energy storage device reaches the predetermined threshold, facilitating replacement of the battery.

Systems and methods for remotely determining a battery characteristic

A device and method for applying a material to a hard surface. The device has a sensor and one or more applicator nozzles. The device further includes a reservoir for containing a material to be deposited, and a CPU. The method includes providing information from the sensor about the surface to the CPU, which uses the information to identify where the material is to be deposited and/or how much to deposit.

Device and methods for depositing materials on hard surfaces

Disclosed are hair analysis systems and methods comprising: (a) capturing an image of a user at as captured by a camera and sending the image to a hair analysis processor; (b) analyzing the user's hair condition at the hair analysis processor, based on the image from the camera by using a model that is trained using a plurality of images of users that each feature one or more micro features of a respective user's hair, and providing an analysis result to a display; and (c) displaying at the display the analysis result to the user. The present invention provides the system and the method with an improved sensitivity.

Systems and methods for hair analysis

A skin care computing device that includes a user interface, a camera, a speaker, a communication interface, and a personal care assistant application. The personal care assistant application can identify personal care products being used by a user and product use event data describing the use of a personal care product by the user, such as the date and time of the use, the duration and frequency of the use, and the manner in which the personal care product is being used. Then the personal care assistant application generates user feedback information for the personal care product based on the product use event data, previous instances of product use event data, and/or user profile data for the user.

Method of generating user feedback information to enhance product use results

The present disclosure is directed to a system that is configured to eject fluid vertically away from a thermal microfluidic die for use with scented oils or other fluids. The die is coupled to a rigid planar support board that separates the die from a reservoir of the fluid. The support board includes an opening that is lined with an inert liner that protects an interior surface of the support board from the fluid. The support board includes contact to an external power supply and contacts to the die on a first surface. The die is coupled to this first surface such that the second surface remains free of electrical connections.

Microfluidic delivery system with a die on a rigid substrate

A system and method for operating a household cleaning appliance, including: providing a household cleaning appliance including, a powered and electronically controlled cleaning implement, and at least one physical sensor taken from a group consisting of: an orientation sensor, an acceleration sensor, an inertial sensor, a global positioning sensor, a pressure sensor, a load sensor, audio sensor, humidity sensor, and a temperature sensor; providing a camera associated with the household cleaning appliance; deriving an augmented classification using one or more classifiers classifying the physical sensor data and the image data; and modifying operation of the cleaning implement based upon the augmented classification.

Growing community of inventors

Mason, OH, United States of America

Faiz Feisal Sherman