Abstract:
Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.
Abstract:
A gesture-based waking and control system to wake a smartwatch device from a low-power state is described. In one embodiment, the system utilizes a pressure or proximity based wake gesture that is interpretable by low-power sensors. An embodiment of the system can be integrated within a wearable device, such as a smartwatch accessory that can be paired with a mobile electronic device, such as a smartphone. In one embodiment, the wearable device includes a set of low-power sensors that are to detect the wake gesture. In one embodiment, the wake gesture causes the device to enable an additional set of sensors and sensor processing logic to detect more advanced commands or gestures. In one embodiment, the wake gesture enables a display of the wearable device.
Abstract:
System and techniques for social cuing based on in-context observation are described herein. A plurality of context attributes about a user and a subject may be received. A period in which an interpersonal interaction between the user and the subject occurs may be determined. A social-interaction-emotional-state may be determined during the period from the plurality of context attributes using a pre-defined classification methodology. A feedback response may be generated based on the determined social-interaction-emotional-state. The feedback may be presented to the user.