Abstract:
A wearable computing device is described that detects an indication of movement associated with the wearable computing device when a user of the wearable computing device detected being located within a moving vehicle. Based at least in part on the indication of movement, a determination is made that the user of the wearable computing device is currently driving the moving vehicle. An operation is performed based on the determination that the user of the wearable computing device is currently driving the moving vehicle.
Abstract:
The disclosure includes a system and method for detecting fine grain copresence between users. The system includes a processor and a memory storing instructions that when executed cause the system to: process one or more signals to determine coarse grain location information of a first device and a second device; determine whether the first device and the second device are copresent based on the coarse grain location information; in response to determining that the first device and the second device are copresent based on the coarse grain location information, transmit a signal to the second device to alert the second device to listen for a fine grain copresence token from the first device; and refine copresence based on receiving an indication that the second device has received the fine grain copresence token.
Abstract:
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.
Abstract:
The present disclosure describes methods, systems, and apparatuses for determining the likelihood that two wireless scans of a mobile computing device were performed in the same location. The likelihood is determined by scanning for wireless networks with a computing device. The scanning includes a receiving a plurality of network attributes for each wireless networks within the range of the mobile computing device. Further, the likelihood is determined by comparing the plurality of network attributes from the scanning with a reference set of network attributes. The comparing of network attributes is used to determine an attribute comparison. Finally, the likelihood between a position associated with the reference set of network attributes and the computing device, based on the attribute comparison, determines a position associated with the network.
Abstract:
The present disclosure describes methods, systems, and apparatuses for determining the likelihood that two wireless scans of a mobile computing device were performed in the same location. The likelihood is determined by scanning for wireless networks with a computing device. The scanning includes a receiving a plurality of network attributes for each wireless networks within the range of the mobile computing device. Further, the likelihood is determined by comparing the plurality of network attributes from the scanning with a reference set of network attributes. The comparing of network attributes is used to determine an attribute comparison. Finally, the likelihood between a position associated with the reference set of network attributes and the computing device, based on the attribute comparison, determines a position associated with the network.
Abstract:
A map editing system for visually indicating the location of GPS devices on a map and identifying paths from the map. GPS data is received from a plurality of GPS devices. The data is filtered based parameters including the speed of the GPS devices. The filtered GPS data is displayed on a map using representations that visually indicate the location of the GPS devices that the data was received from. The representations can then be used for identifying and creating new paths on the map.
Abstract:
Aspects of the disclosure relate generally to localizing mobile devices. In one example, a first location method associated with a first accuracy value may be used to estimate a location of the mobile device. A confidence circle indicative of a level of confidence in the estimation of the location is calculated. The confidence circle may be displayed on a mobile device. When other location methods become available, the size of the displayed confidence circle may be expanded based on information from an accelerometer of the client device or the accuracy of the other available location methods. This may be especially useful when the mobile device is transitioning between areas which are associated with different location methods that may be more or less accurate.
Abstract:
Methods and systems for performing a round trip time determination between two devices are described. An example method may include publishing, over a wireless network interface by a first device within a neighbor aware network (NAN) cluster, a schedule that invites devices within the NAN cluster to request, within a time window, to perform a round trip time (RTT) determination with the first device. The schedule may indicate that the time window begins at a time offset from a NAN discovery window and ends after a predetermined period of time has elapsed. The method may also include receiving a request, from a second device within the NAN cluster, to perform the RTT determination with the first device. The method may also include performing the RTT determination with the second device.
Abstract:
A wearable computing device is described that detects an indication of movement associated with the wearable computing device when a user of the wearable computing device detected being located within a moving vehicle. Based at least in part on the indication of movement, a determination is made that the user of the wearable computing device is currently driving the moving vehicle. An operation is performed based on the determination that the user of the wearable computing device is currently driving the moving vehicle.
Abstract:
Aspects of the disclosure relate generally to localizing mobile devices. In one example, a first location method associated with a first accuracy value may be used to estimate a location of the mobile device. A confidence circle indicative of a level of confidence in the estimation of the location is calculated. The confidence circle may be displayed on a mobile device. When other location methods become available, the size of the displayed confidence circle may be expanded based on information from an accelerometer of the client device or the accuracy of the other available location methods. This may be especially useful when the mobile device is transitioning between areas which are associated with different location methods that may be more or less accurate.