Google Inc.

Uber Technologies, Inc.

Razer (asia-pacific) Pte. Ltd.

Nextbit Systems Inc.

Jaikumar Ganesh

Erick Tseng

Michael K Chan

Michael A Chan

Tom Moss

Linda Tong

Kapil Gupta

Houtan Shirani-Mehr

Mir Shahrouz Takyar

Andrew E Rubin

Matthew Blake Engel

Justin Quan

Mohammed Waleed Kadous

Zhentao Sun

Irfan Sheriff

Laurent Tu

Systems and methods are provided for receiving location data for a first location and a second location and generating a plurality of candidate routes to travel from the first location to the second location, based on the location data, each candidate route comprising a plurality of segments. The systems and methods further generate a safety score for each segment of each candidate route of the plurality of candidate routes, generate a safety score for each candidate route based on safety scores generated for each segment associated with each candidate route, select a best candidate route using the safety score associated with each of the candidate routes, and provide a recommendation for a travel route comprising the best candidate route.

Route safety determination system

Systems and methods are provided for determining location data corresponding to a location of a user, retrieving candidate locations for pickup or drop-off locations based on the location data corresponding to the location of the user, and determining a safety score for each of the candidate locations. The systems and methods further select a best candidate location using the safety score associated with each of the candidate locations and provide a recommendation for a pickup or drop-off location comprising the best candidate location.

Location safety determination system

Systems and methods are provided for receiving location data for a first location and a second location and generating a plurality of candidate routes to travel from the first location to the second location, based on the location data, each candidate route comprising a plurality of segments. The systems and methods further generate a safety score for each segment of each candidate route of the plurality of candidate routes, generate a safety score for each candidate route based on safety scores generated for each segment associated with each candidate route, select a best candidate route using the safety score associated with each of the candidate routes, and provide a recommendation for a travel route comprising the best candidate route

The disclosure is directed to presenting a unified view of tasks and applications across multiple computing devices of a user. A unified view of the tasks can be presented using a task manager. The task manager presents a list of tasks that are executing at each of the devices. The user can perform multiple actions on the tasks, e.g., launch on a first device a task executing on a second device from the first device, or terminate from the first device a task that is executing on the second device. A unified view of the applications can be presented using an app tray. The app tray displays a list of apps installed on each of the devices of the user. In displaying the list on a particular device, the app tray displays the apps that are not installed on the particular device in a distinct format, e.g., as shadow icons.

Multi-tasker

Methods and systems for automatically providing a notification of an operational problem between two devices are provided. The method may include searching online content for user feedback comments associated with a first device and a second device. Sentiment analysis may be performed for the user feedback comments and an operational problem that occurs between the first device and the second device may be identified based on the sentiment analysis. Next, a notification of the operational problem may be provided. Additionally, a probable cause associated with the operational problem may be identified and a suggested solution based on the identified probable cause may be provided. The suggested solution may correct the operational problem between the first device and the second device.

Device compatibility management

The subject disclosure relates to systems and methods for casting an application from a source device to a destination device. In particular, a process can include steps for causing a source application executing as a foreground process in an operating system of a source computing device to store state data, transmitting the state data of the source application to a set of destination computing devices, and transmitting a cast command to the destination computing device, where the cast command is configured to instruct the destination computing device to execute the source application on the destination computing device using the state data.

In-app application casting

Implementations of the present disclosure provide methods and systems for identifying peripheral devices with which problematic connections have been established. According to one embodiment, a method for detecting a model of peripheral device for which problematic connections with a computerized unit are common is disclosed. The method involves receiving values of each of one or more features of a particular connection between a computerized unit and a peripheral device, using the received values to determine a score for each of the features of the particular connection, calculating an overall connection score from the scores for each of the features, and generating a problematic peripheral device report including the model of the peripheral device if the overall connection score is indicative of a problematic connection.

Methodology for detecting problematic connections with peripheral devices

Methods and apparatus are directed to geofencing-related heuristics for computing devices. A computing device with a plurality of sensors can receive a plurality of heuristics. Each heuristic can be configured to generate command(s) for the sensors based on one or more heuristic inputs. The heuristic input(s) can include an input related to a geofence. The computing device can receive a plurality of signals from the sensors. The computing device can determine, based on the plurality of signals, an activity class for the computing device. The activity class can specify an activity associated with the computing device. The computing device can select a heuristic from the plurality of heuristics at least based on the activity class. The computing device can execute the selected heuristic to generate the command(s) for the sensors.

Sending geofence-related heuristics to multiple separate hardware components of mobile devices

The disclosure is directed to an interactive multi-tasker for casting applications executing on a first computing device of a user on any of multiple computing devices of the user from any of the computing devices. Each of the computing devices presents a unified view of tasks and applications executing on each of the computing devices through the multi-tasker. The user can perform multiple actions on the tasks and applications, e.g., cast using a first device an instance of an application that is executing on a second device on to a third device. The state data is synchronized from the second device to the third device. Another instance of the application resumes execution on the third device using the synchronized state data. Once cast, each of the instances of the application executes independently of each other.

Interactive multi-tasker

A computing device may determine a geographic location of the computing device. The computing device may receive information associated with a user. The information may include a search history, a browsing history, an electronic communication message, a social media profile, and a geographic location history. The computing device may determine, based on the information associated with the user, a predicted interest of the user. The computing device may determine, based on the predicted interest of the user, events within a threshold distance from the geographic location of the computing device. The computing device may determine, based on a strength of a relationship between the predicted interest and respective event information associated with each of the events, a ranking of the events. The computing device may output, based on the ranking, at least a portion of the event information for at least one of the events.

Custom event and attraction suggestions

The disclosed subject matter relates to computer implemented methods for calculating walking directions based on walking attributes and location history of a user. In one aspect, a method includes accessing a user profile and location history of a user. The user profile of the user includes the user's walking attributes. The location history of the user includes the user's location data from respective dates and times. The location data is received from a location-aware device associated with the user. The method further includes receiving a request for walking directions for the user, the walking directions being from a first location to a second location. The method further includes calculating, in response to the received request, walking directions from the first location to the second location, based on the walking attributes of the user and the location history of the user.

Calculating walking directions based on a user'S walking attributes and location history

In general, the subject matter described in this specification can be embodied in methods, system and program products. A mobile computing device determines that the mobile computing device has physically paired with a docking system. Wireless communication between the mobile computing device and the docking system is automatically established in response to said determining that the mobile computing device has physically paired with the docking system. Data that encodes an audio signal is transmitted, by the mobile computing device and to the docking system as part of the wireless communication, so as to cause speakers of the docking system to audibly output the audio signal from the mobile computing device.

Wireless communication with a dock

In general, the subject matter described in this specification can be embodied in methods, systems, and program products. A mobile computing device is determined to have electrically coupled by physical contact with a docking system that is adapted to supply electrical power for charging the mobile computing device. The docking system is determined to be a first type of docking system from a plurality of types of docking systems. A first user interface profile that corresponds to the first type of docking system is selected from among a plurality of user interface profiles. Each of the plurality of user interface profiles corresponds to a respective type of docking system from the plurality of types of docking systems. The first user interface profile is presented by the mobile computing device in response to selection of the first user interface profile.

Growing community of inventors

San Francisco, CA, United States of America

Jaikumar Ganesh