Abstract: A software tool includes a plurality of pre-coded API sensor modules for obtaining information from the sensors coupled to a mobile device and a pre-coded API audio module for playing audio content based on the information obtained from at least one of the sensors.

Abstract: Various aspects include audio eyeglasses and methods for controlling audio eyeglasses. In some particular implementations, a method of controlling audio eyeglasses is disclosed. The method can include: detecting a reorient-and-hold gesture on the audio eyeglasses; initiating a timer in response to detecting the reorient-and-hold gesture; and in response to the timer exceeding a threshold period with the reorient-and-hold gesture maintained, powering off the audio eyeglasses.

Abstract: Various aspects include audio eyeglasses and methods for controlling audio eyeglasses. In some particular implementations, a method of controlling audio eyeglasses is disclosed. The method can include: detecting a reorient-and-hold gesture on the audio eyeglasses; initiating a timer in response to detecting the reorient-and-hold gesture; and in response to the timer exceeding a threshold period with the reorient-and-hold gesture maintained, powering off the audio eyeglasses.

Abstract: A software tool includes a plurality of pre-coded API sensor modules for obtaining information from the sensors coupled to a mobile device and a pre-coded API audio module for playing audio content based on the information obtained from at least one of the sensors.

Abstract: Automatic gain control systems disclosed herein can incorporate a confidence metric that can estimate the accuracy of gain adjustments calculated by an automatic gain control module. The confidence metric may be based on a percentage of valid audio samples in a given period of time. Based on the confidence metric, the AGC response may be reduced, delayed, frozen, or otherwise altered from the baseline gain adjustment. Time-averaging process may be used to estimate the input signal power level and determine an appropriate baseline gain adjustment. Additionally, weighting functions can be adjusted to prevent overestimation of the signal power.

Abstract: Automatic gain control systems disclosed herein can incorporate a confidence metric that can estimate the accuracy of gain adjustments calculated by an automatic gain control module. The confidence metric may be based on a percentage of valid audio samples in a given period of time. Based on the confidence metric, the AGC response may be reduced, delayed, frozen, or otherwise altered from the baseline gain adjustment. Time-averaging process may be used to estimate the input signal power level and determine an appropriate baseline gain adjustment. Additionally, weighting functions can be adjusted to prevent overestimation of the signal power.

Abstract: Automatic gain control systems disclosed herein can incorporate a confidence metric that can estimate the accuracy of gain adjustments calculated by an automatic gain control module. The confidence metric may be based on a percentage of valid audio samples in a given period of time. Based on the confidence metric, the AGC response may be reduced, delayed, frozen, or otherwise altered from the baseline gain adjustment. Time-averaging process may be used to estimate the input signal power level and determine an appropriate baseline gain adjustment. Additionally, weighting functions can be adjusted to prevent overestimation of the signal power.

Abstract: Automatic gain control systems disclosed herein can incorporate a confidence metric that can estimate the accuracy of gain adjustments calculated by an automatic gain control module. The confidence metric may be based on a percentage of valid audio samples in a given period of time. Based on the confidence metric, the AGC response may be reduced, delayed, frozen, or otherwise altered from the baseline gain adjustment. Time-averaging process may be used to estimate the input signal power level and determine an appropriate baseline gain adjustment. Additionally, weighting functions can be adjusted to prevent overestimation of the signal power.