Abstract: A process, for adapting an audio environment based on a current user location includes initializing a wearable device with a hub, determining a device location, generating a sound property for content based on the location, adjusting a sound based on the sound property, obtaining device motion data, obtaining an updated device location, generating a second sound property, and adjusting a second sound based on the second sound property. The first location and the updated first location for may be determined by establishing a connection between the device and the hub, establishing a second connection between the device and a first access point, establishing a third connection between the device and a second access point, and calculating the locations by triangulating timing signals received by the device from the hub, the first access point, and the second access point. The sound properties may include first and second volume settings.

Abstract: Techniques are described for an antenna (e.g., an over the air (OTA) antenna) to be intelligently configured so as to adjust itself according to dynamic parameters, such as weather changes. Mechanisms are described that enable the end user to set preferences data (e.g., preferred channels) so that the OTA antenna automatically adjusts its placement to satisfy these preferences (e.g., to catch some preferred channels and with the highest quality available). Also described are techniques that include artificial intelligence (AI) and/or machine learning (ML) for learning the end user's patterns (e.g., patterns of viewership) and, subsequently, automatically adjusting the OTA antenna's position in accordance with the learned patterns. For example, the system may steer the OTA antenna to catch the best signal strength of a favorite channel of an end user, so that the end user can watch that channel with the highest quality, without any hassles, and at any time.