Abstract: Audio data comprising speech is received at a first client device executing an application in an artificial reality environment, in which the first client device is associated with a speaking user. A determination is then made as to whether an object associated with the speaking user is within a field of view of a listening user of a second client device executing the application. The audio data is modified based at least in part on a set of rules and whether the object associated with the speaking user is within the field of view of the listening user. The modified data is then communicated to the listening user of the second client device.

Abstract: An artificial reality system receives information identifying a physical object and location information describing a geographical location associated with the artificial reality system, in which the information identifying the physical object includes a trackable feature associated with the physical object. Upon receiving a request from a user to locate the physical object, the artificial reality system determines a most recent geographical location associated with the physical object based at least in part on the trackable feature and the location information. The artificial reality system then communicates a set of spatial audio cues to the user, in which the set of spatial audio cues guides the user to the most recent geographical location associated with the physical object.

Abstract: An eye tracking system tracks a position and an orientation of one or more eyes of a user of the eye tracking system and determines a gaze point of the user based on the position and the orientation of the user's eye(s). An audio system coupled to the eye tracking system then detects a sound in an environment of the user. A change in the gaze point of the user is detected at the eye tracking system. Based on the change in the gaze point, a determination is made as to whether the user's attention has shifted. Responsive to determining the user's attention has shifted, the sound is modified at the audio system and the modified sound is then communicated to the user.

Abstract: A method for hiding data within cover audio uses a set of sample codebook waveforms that are each assigned a unique representative digit value. A hidden data sequence representing the data is formed from the waveforms by concatenation of the waveforms assigned to the digit values of the data. The sequence is superimposed upon segments of the cover audio at a fractional amplitude. After transmission, the received signal is decompressed if necessary, the hidden data sequence is recovered from the cover audio, and the data is recovered from the hidden data sequence. This may be done by recovering the locations of the codebook waveforms and interpolating the time markers of the locations. The recovered data may be cleaned up by using estimated distances between successive cross-correlations to discard extraneous correlation peaks and sequence recurrence to probabilistically delete overlapping correlation peaks.

Abstract: This disclosure describes an unmanned aerial vehicle (“UAV”) and system that may perform one or more techniques for protecting objects from damage resulting from an unintended or uncontrolled impact by a UAV. As described herein, various implementations utilize a damage avoidance system that detects a risk of damage to an object caused by an impact from a UAV that has lost control and takes steps to reduce or eliminate that risk. For example, the damage avoidance system may detect that the UAV has lost power and/or is falling at a rapid rate of descent such that, upon impact, there is a risk of damage to an object with which the UAV may collide. Upon detecting the risk of damage and prior to impact, the damage avoidance system activates a damage avoidance system having one or more protection elements that work in concert to reduce or prevent damage to the object upon impact by the UAV.

Abstract: This disclosure describes an unmanned aerial vehicle (“UAV”) and system that may perform one or more techniques for protecting objects from damage resulting from an unintended or uncontrolled impact by a UAV. As described herein, various implementations utilize a damage avoidance system that detects a risk of damage to an object caused by an impact from a UAV that has lost control and takes steps to reduce or eliminate that risk. For example, the damage avoidance system may detect that the UAV has lost power and/or is falling at a rapid rate of descent such that, upon impact, there is a risk of damage to an object with which the UAV may collide. Upon detecting the risk of damage and prior to impact, the damage avoidance system activates a damage avoidance system having one or more protection elements that work in concert to reduce or prevent damage to the object upon impact by the UAV.