Abstract: Technologies are generally described for employing proximity sensing mechanisms in augmented reality (AR) systems. Sensors strategically placed on AR eyeglasses in locations such as right and/or left arms, bridge, or flip-up feature of the eyeglasses may be used to detect AR eyeglass usage for power management and/or to provide user interface elements like volume control, display controls, user input, and comparable ones. According to some examples, the sensors may be mechanical sensors, capacitive sensors, optical sensors, inductive sensors, magnetic sensors, and/or similar components.

Abstract: Technologies are generally described for employing proximity sensing mechanisms augmented reality (AR) systems. Sensors strategically placed on AR eyeglasses in locations such as right and/or left arms, bridge, or flip-up feature of the eyeglasses may be used to detect AR eyeglass usage for power management and/or to provide user interface elements like volume control, display controls, user input, and comparable ones. According to some examples, the sensors may be mechanical sensors, capacitive sensors, optical sensors, inductive sensors, magnetic sensors, and/or similar components.

Abstract: Technologies are generally described for employing proximity sensing mechanisms in augmented reality (AR) systems. Sensors strategically placed on AR eyeglasses in locations such as right and/or left arms, bridge, or flip-up feature of the eyeglasses may be used to detect AR eyeglass usage for power management and/or to provide user interface elements like volume control, display controls, user input, and comparable ones. According to some examples, the sensors may be mechanical sensors, capacitive sensors, optical sensors, inductive sensors, magnetic sensors, and/or similar components.

Abstract: Technologies are generally presented for identifying inconsistent usage of computing devices in a multiple computing device environment. When software or hardware are compromised or faulty, the results of self-monitoring may be unreliable for determining inconsistent usage arising from a security breach, a hardware fault, or a software error. Computing devices may be independently monitored for physical attributes, such as temperature, vibration, emitted noise, etc., and such attributes may be compared to expected values based on computing load, network load, or the like. When the monitored and expected physical attribute values differ or conflict, possible inconsistent usage may be identified so that appropriate measures may be taken to rectify the situation.

Abstract: Technologies are generally presented for identifying inconsistent usage of computing devices in a multiple computing device environment. When software or hardware are compromised or faulty, the results of self-monitoring may be unreliable for determining inconsistent usage arising from a security breach, a hardware fault, or a software error. Computing devices may be independently monitored for physical attributes, such as temperature, vibration, emitted noise, etc., and such attributes may be compared to expected values based on computing load, network load, or the like. When the monitored and expected physical attribute values differ or conflict, possible inconsistent usage may be identified so that appropriate measures may be taken to rectify the situation.

Abstract: Technologies are generally described for employing proximity sensing mechanisms in augmented reality (AR) systems. Sensors strategically placed on AR eyeglasses in locations such as right and/or left arms, bridge, or flip-up feature of the eyeglasses may be used to detect AR eyeglass usage for power management and/or to provide user interface elements like volume control, display controls, user input, and comparable ones. According to some examples, the sensors may be mechanical sensors, capacitive sensors, optical sensors, inductive sensors, magnetic sensors, and/or similar components.