Intel Corporation

Tahoe Research, Ltd.

Corey Kukis

John Charles Weast

Timothy J Gresham

Tsung-Yuan Charles Tai

Ren Wang

Arvind A Kumar

Kristoffer Fleming

Zhonghong Ou

Robert L Vaughn

Brandon Bohling

Examples disclosed herein include a mobile computing device to determine network condition information associated with a route segment. The route segment may be one of a number of route segments defining at least one route from a starting location to a destination. The mobile computing device may determine a route from the starting location to the destination based on the network condition information. The mobile computing device may upload the network condition information to a crowdsourcing server. A mobile computing device may predict a future location of the device based on device context, determine a safety level for the predicted location, and notify the user if the safety level is below a threshold safety level. The device context may include location, time of day, and other data. The safety level may be determined based on predefined crime data.

Technologies for providing information to a user while traveling

Technologies for providing information to a user while traveling include a mobile computing device to determine network condition information associated with a route segment. The route segment may be one of a number of route segments defining at least one route from a starting location to a destination. The mobile computing device may determine a route from the starting location to the destination based on the network condition information. The mobile computing device may upload the network condition information to a crowdsourcing server. A mobile computing device may predict a future location of the device based on device context, determine a safety level for the predicted location, and notify the user if the safety level is below a threshold safety level. The device context may include location, time of day, and other data. The safety level may be determined based on predefined crime data.

A method for virtual guard rail implementation includes collecting user parameters, representing user limitations, for a computer simulation executed by a computer. Execution of the computer simulation is monitored for virtual content that exceeds the user parameters. The monitoring may be performed in real-time and prior to presentation of the content on a display to the user. Virtual content that exceeds the user parameters is replaced with virtual guard rail content that remains within the user parameters.

Virtual guard rails

Technologies for providing information to a user while traveling include a mobile computing device to determine network condition information associated with a route segment. The route segment may be one of a number of route segments defining at least one route from a starting location to a destination. The mobile computing device may determine a route from the starting location to the destination based on the network condition information. The mobile computing device may upload the network condition information to a crowdsourcing server. A mobile computing device may predict a future location of the device based on device context, determine a safety level for the predicted location, and notify the user if the safety level is below a threshold safety level. The device context may include location, time of day, and other data. The safety level may be determined based on predefined crime data. Other embodiments are described and claimed.

Growing community of inventors

Beaverton, OR, United States of America

Corey Kukis