Abstract: In one implementation, a method is performed for tiered posture awareness. The method includes: while presenting a three-dimensional (3D) environment, via the display device, obtaining head pose information for a user associated with the computing system; determining an accumulated strain value for the user based on the head pose information; and in accordance with a determination that the accumulated strain value for the user exceeds a first posture awareness threshold: determining a location for virtual content based on a height value associated with the user and a depth value associated with the 3D environment; and presenting, via the display device, the virtual content at the determined location while continuing to present the 3D environment via the display device.

Abstract: Embodiments are disclosed for estimating heart rate recovery (HRR) after maximum or high-exertion activity based on sensor observations. In some embodiments, a method comprises: obtaining, with at least one processor, sensor data from a wearable device worn on a wrist of a user; obtaining, with the at least one processor, a heart rate (HR) of the user; identifying, with the at least one processor, an observation window of the sensor data and HR; estimating, with the at least one processor during the observation window, input features for estimating maximum or near maximum exertion HRR of the user based on the sensor data and HR; and estimating, with the at least one processor during the observation window, the maximum or near maximum exertion HRR of the user based on a machine learning model and the input features.