Motorola Corporation

Google Inc.

Motorola Mobility LLC

Symbol Technologies, LLC

Temic Automotive of North America, Inc.

Noel S Massey

Orhan Karaali

Von Alan Mock

Gerald Edward Corrigan

Timothy J Collins

Robert Michael Gardner

Eric Rolse Buhrke

Guy George Romano

Gunnar F Harboe

Juan C Fernandez

Kari Torkkola

Corey Andrew Miller

Joseph C Tullio

Bradford Miller

Robert H Leivian

A communication system for workforce management is formed of a system controller managing a plurality of badges associated with workplace devices and employees within the workplace. The controller receives event indicators from the badges. These event indicators are analyzed by the controller to determine whether a task should be created and performed by at least one of the workplace devices and/or at least one of the employees. Task lists and device assignments are dynamically updated in response to current workplace conditions.

Method and apparatus for workforce management

A communications terminal () including a user interface communicably coupled to a controller is configured to form a group of contacts. In one embodiment, the terminal displays only contacts having at least two attributes in common. In another embodiment, the terminal displays a group of contacts having a social relationship with at least two degrees of social separation relative to a user associated with the group. In another embodiment, a group of contacts is formed upon initiation of an application at the terminal, wherein all contacts in the group are associated with terminals running the same application and are also engaged in a common activity.

Contact group dynamics in networked communication devices

A system and method for customizing communication in a social television framework is described. The method includes retrieving a current context data set corresponding to multiple users, wherein the current context data set includes a user profile component and a media content component. A customized mark set is determined based on an analysis of the current context data set, and at least one of the marks in the customized mark set is sent to a client end device to be experienced by at least one of the users.

System and method for customizing communication in a social television framework

Disclosed is a method for making media consumption more social by suggesting a time when users in a group may engage in live communications while consuming media. First, media-consumption activities of the users in the group are monitored. (For example, the set-top boxes of a cable television system monitor when and what each user watches.) Then, from this and possibly from other information, times when each user will be available for live communications are predicted. Finally, the individual predictions are correlated and, if possible, a future time is suggested when a largest possible number of the users in the group will be available for live communications. Some embodiments use other information, such as electronic calendars, to predict when users may be available. The suggested time may be shown on an electronic program guide for a user watching television and may be added to each user's electronic calendar.

Suggesting a time for live communications among a largest possible subset of users based on previous content-consumption behavior

A controller () senses via one or more sensors () parameters that correspond to likely cognitive loading for the driver of a vehicle. Based upon a sense of this cognitive loading, the controller () selects a particular user interface mode from amongst a plurality of user interface modes when receiving a message via a wireless unit () intended for the driver of the vehicle. In general, the selected user interface will present a corresponding cognitive challenge that is reasonable in view of the present cognitive load being experienced by the driver. In one embodiment, the sensor information can be used to also estimate the likely duration of present cognitive loading. This window-of-opportunity information is then additionally used to select a particular user interface option.

Method and apparatus for selecting a user interface

An apparatus and method for classifying a driver's activity state use sensor data relating to at least one vehicle operating condition to determine driver activity and classify into one of at least two states. A two state classifier () uses inputs related to vehicle monitors (), driving conditions (), driver activity (), vehicle controls (), and driver identification () to set an output () to a status corresponding to 'maneuver' and 'non-maneuver.'

Method and apparatus for classifying vehicle operator activity state

A method (2000), device (2200) and article of manufacture (2300) provide, in response to lexical pronunciation information, efficient generation of postlexical pronunciation information. A method is presented for providing, in response to a lexical pronunciation, efficient generation of a postlexical pronunciation, including the steps of: determining lexical phones, lexical features, and boundary information for a predetermined portion of text; and utilizing a pretrained neural network that was pretrained using lexical phones, postlexical phones, lexical features, and boundary information to generate a neural network hypothesis for a postlexical pronunciation of the predetermined portion of text.

Method device and article of manufacture for neural-network based

The present invention teaches a method (400), device and system (300) utilizing at least one of: mapping a sequence of phones to a sequence of articulatory features and utilizing prominence and boundary information, in addition to a predetermined set of rules for type, phonetic context, syntactic and prosodic context for phones to provide provide a system that generates segment durations efficiently with a small training set.

Method, device and system for generating segment durations in a

A method (400), device and system (300) provide, in response to linguistic information, efficient generation of a parametric representation of speech using a neural network. The method provides, in response to linguistic information efficient generation of a refined parametric representation of speech, comprising the steps of: A) using a data selection module to retrieve representative parameter vectors for each segment description according to the phonetic segment type and the phonetic segment types included in adjacent segment descriptions; B) interpolating between the representative parameter vectors according to the segment descriptions and duration to provide interpolated statistical parameters; C) converting the interpolated statistical parameters and linguistic information to neural network input parameters; D) utilizing a statistically enhanced neural network/neural network with post-processor to provide neural network output parameters that correspond to a parametric representation of speech; and converting the neural network output parameters to a refined parametric representation of speech.

Growing community of inventors

Carpentersville, IL, United States of America

Noel S Massey