Abstract: Geofence crossing-based control systems and techniques are described herein. For example, a geofence crossing control technique may include receiving a location signal indicative of a range of locations in which a mobile computing device is located; receiving a velocity signal indicative of a speed and direction of the mobile computing device; generating, for each of a plurality of candidate geofence crossing times, a performance indicator based on the location signal, the velocity signal, and a boundary of the geofence; selecting a geofence crossing time from the plurality of candidate geofence crossing times based on the performance indicators; and transmitting a control signal representative of the geofence crossing time. Other embodiments may be disclosed and/or claimed.

Abstract: Technologies for determining a user's location by a mobile computing device include detecting, based on sensed inertial characteristics of the mobile computing device, that a user of the mobile computing device has taken a physical step in a direction. The mobile computing device determines a directional heading of the mobile computing device in the direction and a variation of an orientation of the mobile computing device relative to a previous orientation of the mobile computing device at a previous physical step of the user based on the sensed inertial characteristics. The mobile computing device further applies a Kalman filter to determine a heading of the user based on the determined directional heading of the mobile computing device and the variation of the orientation and determines an estimated location of the user based on the user's determined heading, an estimated step length of the user, and a previous location of the user at the previous physical step.

Abstract: Geofence crossing-based control systems and techniques are described herein. For example, a geofence crossing control technique may include receiving a location signal indicative of a range of locations in which a mobile computing device is located; receiving a velocity signal indicative of a speed and direction of the mobile computing device; generating, for each of a plurality of candidate geofence crossing times, a performance indicator based on the location signal, the velocity signal, and a boundary of the geofence; selecting a geofence crossing time from the plurality of candidate geofence crossing times based on the performance indicators; and transmitting a control signal representative of the geofence crossing time. Other embodiments may be disclosed and/or claimed.

Abstract: Technologies for determining a user's location by a mobile computing device include detecting, based on sensed inertial characteristics of the mobile computing device, that a user of the mobile computing device has taken a physical step in a direction. The mobile computing device determines a directional heading of the mobile computing device in the direction and a variation of an orientation of the mobile computing device relative to a previous orientation of the mobile computing device at a previous physical step of the user based on the sensed inertial characteristics. The mobile computing device further applies a Kalman filter to determine a heading of the user based on the determined directional heading of the mobile computing device and the variation of the orientation and determines an estimated location of the user based on the user's determined heading, an estimated step length of the user, and a previous location of the user at the previous physical step.

Abstract: Geofence crossing-based control systems and techniques are described herein. For example, a geofence crossing control technique may include receiving a location signal indicative of a range of locations in which a mobile computing device is located; receiving a velocity signal indicative of a speed and direction of the mobile computing device; generating, for each of a plurality of candidate geofence crossing times, a performance indicator based on the location signal, the velocity signal, and a boundary of the geofence; selecting a geofence crossing time from the plurality of candidate geofence crossing times based on the performance indicators; and transmitting a control signal representative of the geofence crossing time. Other embodiments may be disclosed and/or claimed.

Abstract: Technologies for determining a user's location by a mobile computing device include detecting, based on sensed inertial characteristics of the mobile computing device, that a user of the mobile computing device has taken a physical step in a direction. The mobile computing device determines a directional heading of the mobile computing device in the direction and a variation of an orientation of the mobile computing device relative to a previous orientation of the mobile computing device at a previous physical step of the user based on the sensed inertial characteristics. The mobile computing device further applies a Kalman filter to determine a heading of the user based on the determined directional heading of the mobile computing device and the variation of the orientation and determines an estimated location of the user based on the user's determined heading, an estimated step length of the user, and a previous location of the user at the previous physical step.

Abstract: Technologies for location privacy management include a mobile computing device to determine whether an application is authorized to obtain the location of the mobile computing device based on a determined location and location access policy of the mobile computing device. The location access policy includes policy rules that identify whether the application is authorized to obtain the location of the mobile computing device. If the mobile computing device determines that the application is not authorized to obtain the location of the mobile computing device, the mobile computing device blocks the application from obtaining the location.

Abstract: Technologies for determining a user's location by a mobile computing device include detecting, based on sensed inertial characteristics of the mobile computing device, that a user of the mobile computing device has taken a physical step in a direction. The mobile computing device determines a directional heading of the mobile computing device in the direction and a variation of an orientation of the mobile computing device relative to a previous orientation of the mobile computing device at a previous physical step of the user based on the sensed inertial characteristics. The mobile computing device further applies a Kalman filter to determine a heading of the user based on the determined directional heading of the mobile computing device and the variation of the orientation and determines an estimated location of the user based on the user's determined heading, an estimated step length of the user, and a previous location of the user at the previous physical step.

Abstract: Technologies for location privacy management include a mobile computing device to determine whether an application is authorized to obtain the location of the mobile computing device based on a determined location and location access policy of the mobile computing device. The location access policy includes policy rules that identify whether the application is authorized to obtain the location of the mobile computing device. If the mobile computing device determines that the application is not authorized to obtain the location of the mobile computing device, the mobile computing device blocks the application from obtaining the location.

Abstract: Technologies for determining a user's location by a mobile computing device include detecting, based on sensed inertial characteristics of the mobile computing device, that a user of the mobile computing device has taken a physical step in a direction. The mobile computing device determines a directional heading of the mobile computing device in the direction and a variation of an orientation of the mobile computing device relative to a previous orientation of the mobile computing device at a previous physical step of the user based on the sensed inertial characteristics. The mobile computing device further applies a Kalman filter to determine a heading of the user based on the determined directional heading of the mobile computing device and the variation of the orientation and determines an estimated location of the user based on the user's determined heading, an estimated step length of the user, and a previous location of the user at the previous physical step.

Abstract: Technologies for determining a user's location by a mobile computing device include detecting, based on sensed inertial characteristics of the mobile computing device, that a user of the mobile computing device has taken a physical step in a direction. The mobile computing device determines a directional heading of the mobile computing device in the direction and a variation of an orientation of the mobile computing device relative to a previous orientation of the mobile computing device at a previous physical step of the user based on the sensed inertial characteristics. The mobile computing device further applies a Kalman filter to determine a heading of the user based on the determined directional heading of the mobile computing device and the variation of the orientation and determines an estimated location of the user based on the user's determined heading, an estimated step length of the user, and a previous location of the user at the previous physical step.

Abstract: Geofence crossing-based control systems and techniques are described herein. For example, a geofence crossing control technique may include receiving a location signal indicative of a range of locations in which a mobile computing device is located; receiving a velocity signal indicative of a speed and direction of the mobile computing device; generating, for each of a plurality of candidate geofence crossing times, a performance indicator based on the location signal, the velocity signal, and a boundary of the geofence; selecting a geofence crossing time from the plurality of candidate geofence crossing times based on the performance indicators; and transmitting a control signal representative of the geofence crossing time. Other embodiments may be disclosed and/or claimed.

Abstract: Technologies for location privacy management include a mobile computing device to determine whether an application is authorized to obtain the location of the mobile computing device based on a determined location and location access policy of the mobile computing device. The location access policy includes policy rules that identify whether the application is authorized to obtain the location of the mobile computing device. If the mobile computing device determines that the application is not authorized to obtain the location of the mobile computing device, the mobile computing device blocks the application from obtaining the location.

Abstract: Techniques for predicting a future location of a mobile device are included herein in which a previous location of the mobile device can be detected. Additionally, a current location of the mobile device can be detected. Furthermore, the future location of the mobile device can be predicted based at least in part on the previous location of the mobile device, the current location of the mobile device, and a location history.

Abstract: Techniques for predicting a future location of a mobile device are included herein in which a previous location of the mobile device can be detected. Additionally, a current location of the mobile device can be detected. Furthermore, the future location of the mobile device can be predicted based at least in part on the previous location of the mobile device, the current location of the mobile device, and a location history.