Motorola Mobility LLC

Yi Wu

Zhengping Ji

Rachid M Alameh

Thomas Y Merrell

Leo S Woiceshyn

Karthik Mohan Kumar

James Patrick Ashley

John Joseph Gorsica

Jarrett K Simerson

Thomas E Gitzinger

Robert S Witte

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

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

In aspects of generating action suggestions based on a change in user mood, a computing device implements an action generation module that generates action suggestions. The action generation module analyzes sensor data from sensors to determine a current user state associated with a user. The action generation module also analyzes environment data received from Internet-of-Things (IoT) devices to determine a current environment context associated with the user. The action generation module can detect a change in a user mood based on a comparison of the current user state with user history data that includes user state parameters and environment context parameters that indicate the user mood. The action generation module can analyze the user history data to determine the user state parameters and/or the environment context parameters that correlate to the change in the user mood, and generate an action suggestion that is intended to modify the current user state.

Generating action suggestions based on a change in user mood

Systems and methods for providing smart internet of things (IOT) menus utilize a camera of an electronic communications device and entail capturing an image of an IOT device of interest using a camera of the electronic communications device and identifying the IOT device of interest. The IOT of interest is displayed and may be selected by the device user. The user of the electronic communications device is identified and their historical behavior with respect to the selected IOT device is analyzed. A customized, rather than full, IOT device control menu is then generated and presented to the user.

Smart internet of things menus with cameras

An electronic device includes a communication device communicating with one or more Internet-of-things devices, one or more processors, and a memory. The communication device receives, from at least one Internet-of-things device, an event notification. The one or more processors identify a notification recipient to whom the event notification should be sent from a plurality of predefined system users, select a receiving electronic device from at least two electronic devices belonging to the notification recipient, convert the event notification from a first event notification type to a second event notification type that is receivable by the receiving electronic device, and transmit the event notification to the receiving electronic device.

Dynamic event notification routing and delivery device and corresponding systems and methods

A method includes detecting a keyword within an audio stream. The keyword is one of multiple keywords in a database, in which each of the multiple keywords relates to at least one of multiple domains in the database. The database stores a first confidence weight for each of the multiple keywords that are related to a first domain among the multiple domains. Each first confidence weight indicates a probability that a corresponding keyword relates to the first domain. The method includes determining whether a first confidence weight of the keyword is at least equal to an activation threshold value associated with the first domain. The method includes, in response to the first confidence weight of the keyword meeting the activation threshold value, activating a DS-ASR engine corresponding with the first domain to perform speech-to-text conversion on the audio stream.

Accumulative multi-cue activation of domain-specific automatic speech recognition engine

An Internet-of-things device can detect, using one or more sensors, a condition exceeding a predefined condition threshold. If the condition is occurring at a location outside of an area monitored by the sensors of the Internet-of-things device, a communication device can transmit an investigation request to an unmanned aircraft. The investigation request can include a request to monitor an environment at the location. The Internet-of-things device can then receive an event report identifying whether a class of event is or was occurring at the location from the unmanned aircraft. The event report can include one or more event labels. The Internet-of-things device can transform, with an artificial intelligence engine, the one or more event labels into machine learned knowledge in an Internet-of-things knowledge domain.

Methods and systems for unmanned aircraft monitoring in response to Internet-of-things initiated investigation requests

A method and data processing device for detecting a communication between a first and second entity. The method includes identifying whether a previous communication between the first and second entity has been detected. In response to identifying that the previous communication between the first and second entity has been detected, the method determines an elapsed time since detection of the previous communication. The method predicts a topic of the communication, in part based on the determined elapsed time. The topic corresponds to a specific domain from among a plurality of available domains for automatic speech recognition (ASR) processing. The method triggers selection and activation of a first domain specific (DS) ASR engine from among a plurality of available DS ASR engines to utilize a smaller resource footprint than a general ASR engine and facilitate recognition of specific vocabulary and context, in part, based on the elapsed time since the previous communication.

Selective activation of smaller resource footprint automatic speech recognition engines by predicting a domain topic based on a time since a previous communication

A method includes receiving a voice input via a microphone of an electronic device, and determining whether the voice input contains speech from an authorized user of the electronic device or speech from an unauthorized user. The method includes in response to determining that the voice input contains speech from the authorized user: determining whether the speech contains private speech or public speech; in response to determining that the speech contains private speech, processing the voice input through a local automatic speech recognition (ASR) engine within the electronic device, the local ASR engine converting the voice input from audio format to text format and outputting a text transcription of the private speech; and in response to determining that the speech does not contain private speech, forwarding the voice input through a communication interface associated with a network-connected external device for processing the voice input at the network-connected external device.

Speech recognition system providing seclusion for private speech transcription and private data retrieval

An electronic device includes a touch-sensitive display, one or more processors, and one or more motion sensors. The touch-sensitive display detects touch input at a surface of the touch-sensitive display, with the touch input identifying a user input command requesting performance of a control operation. The one or more motion sensors determine whether the electronic device moves in three-dimensional space while the touch input is occurring. The one or more processors preclude execution of the control operation in response to the touch input where the electronic device moved in the three-dimensional space while the touch input was occurring, thereby preventing control operations in response to inadvertent touching when the electronic device is being picked up or moved.

Methods and devices for precluding touch initiated control operations during three-dimensional motion

A method, a communication device, and a computer program product for identifying a live phone call. The method includes receiving, at a first communication device, an activation of a verification mode for a phone call. The method includes receiving, from a second communication device on the phone call, first audio data associated with the phone call. The method further includes determining, via a processor of the first communication device, if the first audio data contains machine originated audio, and in response to determining that the first audio data does not contain machine originated audio, generating and outputting an alert that the phone call is live.

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Chicago, IL, United States of America

Yi Wu