Abstract: Aspects of the present disclosure relate to orchestrating calls with an “active call bar” for an artificial reality (XR) environment displayed on an XR device, with a control bar for voice calls that persists across XR experiences. From the active call bar, a user can create a voice call with other users on XR devices, end the call, manage participants of the call, adjust the volume of the call, etc. The user can further see which XR experiences the other users within the party are accessing, and can invite them to join their XR experience. As the user moves between experiences and applications, the active call bar can persist on the user interface. Further, the user can continue the voice call across different experiences regardless of where other users are, i.e., users do not have to be co-located in the same experience to participate in the voice call.

Abstract: A Swimguard protection system for detecting a person in distress in a body of water includes one or more sensors directed at the body of water, an alarm system configured to sound an audible alarm if a person is detected to be in distress, and a computing device in electrical communication with the one or more sensors and the alarm system. The computing device is configured to execute a deep learning algorithm that detects an event indicative that a person is in distress in the body of water. Characteristically, the computing device is further configured to send a trigger to the alarm system to provide an audio alarm upon the detection of such an event.

Abstract: Aspects of the disclosure relate to using machine learning for remote wake up of a mobile device. A computing platform may receive historical data corresponding to driving trip patterns. The computing platform may train a machine learning model using the historical data corresponding to the driving trip patterns. The computing platform may receive initial data corresponding to a particular individual, and input the initial data into the machine learning model, which may cause output of a predicted trip start time of a driving trip of the particular individual. The computing platform may send, to a mobile device corresponding to the particular individual, one or more commands directing the mobile device to wake up prior to the predicted trip start time and to initiate collection of driving trip data corresponding to the driving trip, which may cause the mobile device to be configured for the collection of driving trip data.