Abstract:
A cloud-based connectivity system. The system includes a plurality of wireless devices and a computing device connected to at least one of the wireless devices. The computing device includes a control unit to receive context information from each of the plurality of wireless devices, to determine future consumption patterns for each of the plurality of wireless devices by using the received context information, to create a connectivity representation for the plurality of wireless devices, and to determine an optimal network topology for the plurality of wireless devices.
Abstract:
Described herein are techniques for beamforming a wireless signal to a harvesting device. In an example, a method to increase available energy to a harvesting device is performed by a WiFi transmitting device. The WiFi transmitting device determines a preferred wireless path to the harvesting device using input from a proxy device. The WiFi transmitting device then beamforms a WiFi signal to the harvesting device along the preferred wireless path.
Abstract:
Examples herein disclose capturing a wifi signal from a computing device corresponding to a computing accessory and harvesting energy from the captured wifi signal. The examples power the computing accessory based on the harvested energy.
Abstract:
A signal transmitted from a mobile device is received at an antenna array of a device. Motion information of the mobile device is received from a sensor of the mobile device. A change in the AoA of the signal is computed when the mobile device moves from a first position to a second position. The location of the mobile device relative to the antenna array is determined based on the change in AoA of the signal and the motion information of the mobile device.
Abstract:
A signal transmitted from a mobile device is received at a device. A change in angle-of-arrival (AoA) of the signal is computed as the mobile device moves from a first location to a second location. A first distance and a second distance of the mobile from the device corresponding to the first and second locations, respectively are computed. A displacement of the mobile device from the first location to the second location is computed based on mobility information provided by a sensor of the mobile device. A change in an angle of direct path (ANDP) of the signal is computed based on the first distance, the second distance, and the displacement. The ANDP is determined based on a comparison of the change in AoA to the change in ANDP.
Abstract:
Examples relate to determining finger movements. In one example, a computing device may: receive input from at least one of: a first proximity sensor coupled to the frame at a first position and facing a first direction; or a second proximity sensor coupled to the frame at a second position and facing a second direction; determine, based on the input, that a finger action occurred, the finger action being one of: a first movement of a first finger, the first movement being detected by the first proximity sensor; a second movement of a second finger, the second movement being detected by the second proximity sensor; generate, based on the finger action, output that includes data defining an event that corresponds to the finger action; and provide the output to another computing device.
Abstract:
A method for power management of a mobile device. The method includes evaluating content of a plurality of applications received at a mobile device operated by a user and determining latency information for each of the plurality of applications. The method further includes dynamically determining a priority of the plurality of applications based on the latency information for each application, and dynamically adjusting the mobile device between at least two wireless power modes based on the priority of the plurality of applications.
Abstract:
An example of adaptive location perturbation can include selecting, by a processing resource of a mobile device executing instructions stored on a non-transitory medium, between a plurality of localization technologies to perturb a location measurement of the mobile device. The perturbed location measurement of the mobile device can be sent to a location-based service provider.