Abstract: A loudness normalization method includes receiving data for playback of content from a server in response to a user's request to play back the content; normalizing the loudness of the content by adjusting the volume output level of a player using volume level metadata of the content included in the received data; and providing the content by playing audio of the content based on the adjusted volume output level of the player.

Abstract: A method for processing an audio signal includes setting target loudness; receiving metadata of an audio signal from a server; and adjusting the loudness of the audio signal by using the received metadata, so that the loudness of the audio signal corresponds to the set target loudness.

Abstract: Systems and methods are described for estimating a direction of interest of a user. In some embodiments, a method of estimating a direction of interest of a user includes tracking a head orientation of the user, detecting a shift in the head orientation, determining a head rotation rate during the shift in the head orientation, and estimating the direction of interest of the user based at least in part on the head rotation rate.

Abstract: A loudness normalization method includes receiving data for playback of content from a server in response to a user's request to play back the content; normalizing the loudness of the content by adjusting the volume output level of a player using volume level metadata of the content included in the received data; and providing the content by playing audio of the content based on the adjusted volume output level of the player.

Abstract: An example disclosed method in accordance with some embodiments includes: receiving head tracking position information from a client device, the head tracking position information associated with a user at the client device; predicting a future head position of the user at a scan-out time for displaying a virtual reality (VR) video frame, wherein the VR video frame is displayed to the user via the client device; determining an overfill factor based on an expected error in the predicted future head position of the user; rendering an overfilled image based on the predicted future head position of the user and the overfill factor; and sending the VR video frame including the overfilled image to the client device for display to the user.

Abstract: Systems and methods are described for estimating a direction of interest of a user. In some embodiments, a method of estimating a direction of interest of a user includes tracking a head orientation of the user, detecting a shift in the head orientation, determining a head rotation rate during the shift in the head orientation, and estimating the direction of interest of the user based at least in part on the head rotation rate.

Abstract: An example disclosed method in accordance with some embodiments includes: receiving head tracking position information from a client device, the head tracking position information associated with a user at the client device; predicting a future head position of the user at a scan-out time for displaying a virtual reality (VR) video frame, wherein the VR video frame is displayed to the user via the client device; determining an overfill factor based on an expected error in the predicted future head position of the user; rendering an overfilled image based on the predicted future head position of the user and the overfill factor; and sending the VR video frame including the overfilled image to the client device for display to the user.

Abstract: Systems and methods are described for determining positions of indoor localization beacons without requiring a physical site survey. In a coarse positioning method, a mobile node receives beacon signals that identify rooms (such as stores in a shopping mall) in which the beacons are located. The mobile node obtains floor plan information relating to the building and estimates beacon locations based on the floor plan and beacon signal strength. The estimated beacon locations may be arranged in a predetermined geometric pattern based on the number of beacons in a room. In a fine positioning method, a mobile node recognizes its proximity to a beacon and responsively measures the distance to other beacons. Estimated beacon positions may be used to estimate the location of the mobile node using trilateration or other techniques.

Abstract: Systems and methods are described to monitor and record user context and engagement with music. In an exemplary method, a user device receives an audio input of a user's audio environment, for example through a microphone. From the audio input, a song playing in the user's audio environment is identified by a user device. This may be done by consulting a database of audio features. The user device determines the user context and/or a user's level of engagement with the song. The context may include the time and location at which the song was playing. The level of engagement may be determined by monitoring whether, for example, the user danced or otherwise moved to the song, whether the user sang along to the song, and/or whether the user turned up the volume of the song.

Abstract: Systems and methods described that provide for sending a first temporal portion of video to a client, wherein video quality of a first spatial region associated with a first direction of view is sent with higher quality than video data for another spatial region not associated with the first direction of view; sending a second temporal portion of the video to the client; and responsive to determining that a significant event, audio or video or a combination, occurred during the second temporal portion and corresponds with a second direction of view that is associated with a second spatial region, sending higher quality video for the second spatial region than video data for another spatial region. Virtual reality (VR) video, including 360-degree VR video may thus be foveated, based on contextual information in the video data and corresponding audio data, combined with field of view predictions based upon user motion.

Abstract: Systems and methods are described for determining a material of an object using sound. Exemplary methods employ a head-mounted display (HMD). In an embodiment, the method includes determining, using a depth camera function of the HMD, a distance to an object; emitting, using a speaker of the AR HMD, a generated sound signal; and responsive to emitting the sound signal, detecting a reflected sound signal. Relative to the emitted sound signal, the HMD determines attenuation levels for a temporal portion of the reflected sound signal for at least two frequency ranges of the reflected sound signal, the temporal portion of the reflected sound signal corresponding to a computed round-trip travel time of the sound signal traveling the determined distance to and from the object. Based upon the determined attenuation levels, the determines a material corresponding to the attenuation levels.

Abstract: Systems and methods are described for determining positions of indoor localization beacons without requiring a physical site survey. In a coarse positioning method, a mobile node receives beacon signals that identify rooms (such as stores in a shopping mall) in which the beacons are located. The mobile node obtains floor plan information relating to the building and estimates beacon locations based on the floor plan and beacon signal strength. The estimated beacon locations may be arranged in a predetermined geometric pattern based on the number of beacons in a room. In a fine positioning method, a mobile node recognizes its proximity to a beacon and responsively measures the distance to other beacons. Estimated beacon positions may be used to estimate the location of the mobile node using trilateration or other techniques.

Abstract: Systems and methods are described for determining positions of indoor localization beacons without requiring a physical site survey. In a coarse positioning method, a mobile node receives beacon signals that identify rooms (such as stores in a shopping mall) in which the beacons are located. The mobile node obtains floor plan information relating to the building and estimates beacon locations based on the floor plan and beacon signal strength. The estimated beacon locations may be arranged in a predetermined geometric pattern based on the number of beacons in a room. In a fine positioning method, a mobile node recognizes its proximity to a beacon and responsively measures the distance to other beacons. Estimated beacon positions may be used to estimate the location of the mobile node using trilateration or other techniques.

Abstract: The present invention relates to a wireless communication method for clear channel assessment and a wireless communication terminal using the same, and more particularly, to a wireless communication method and a wireless communication terminal for performing efficient clear channel assessment based on BBS identifier information of non-legacy wireless LAN information. To this end, provided is a wireless communication method including: receiving a radio signal of a specific channel; measuring a signal strength of the received radio signal; and determining whether the specific channel is busy based on the measured signal strength and BSS identifier information of the radio signal.

Abstract: Systems and methods described that provide for sending a first temporal portion of video to a client, wherein video quality of a first spatial region associated with a first direction of view is sent with higher quality than video data for another spatial region not associated with the first direction of view; sending a second temporal portion of the video to the client; and responsive to determining that a significant event, audio or video or a combination, occurred during the second temporal portion and corresponds with a second direction of view that is associated with a second spatial region, sending higher quality video for the second spatial region than video data for another spatial region. Virtual reality (VR) video, including 360-degree VR video may thus be foveated, based on contextual information in the video data and corresponding audio data, combined with field of view predictions based upon user motion.

Abstract: The present invention relates to a method and an apparatus for processing an audio signal, and more particularly, to a method and an apparatus for processing an audio signal, which synthesizes an object signal and a channel signal and effectively binaural-render the synthesized signal.

Abstract: Systems and methods are described for determining a material of an object using sound. Exemplary methods employ a head-mounted display (HMD). In an embodiment, the method includes determining, using a depth camera function of the HMD, a distance to an object; emitting, using a speaker of the AR HMD, a generated sound signal; and responsive to emitting the sound signal, detecting a reflected sound signal. Relative to the emitted sound signal, the HMD determines attenuation levels for a temporal portion of the reflected sound signal for at least two frequency ranges of the reflected sound signal, the temporal portion of the reflected sound signal corresponding to a computed round-trip travel time of the sound signal traveling the determined distance to and from the object. Based upon the determined attenuation levels, the determines a material corresponding to the attenuation levels.

Abstract: The present invention relates to an apparatus and a method for processing an audio signal, and more particularly, to an apparatus and a method for efficiently rendering a higher order ambisonics signal. To this end, provided are an audio signal processing apparatus, including: a pre-processor configured to separate an input audio signal into a first component corresponding to at least one object signal and a second component corresponding to a residual signal and extract position vector information corresponding to the first component from the input audio signal; a first rendering unit configured to perform an object-based first rendering on the first component using the position vector information; and a second rendering unit configured to perform a channel-based second rendering on the second component and an audio signal processing method using the same.

Abstract: Technologies are generally described for activation of actuators based on sensed user characteristics, such as orientation. In some examples, an access control system may be configured to activate an actuator upon determining that an activation device is both in proximity to and has a similar orientation to the actuator. The access control system may be configured to determine orientation similarity by determining an orientation associated with the activation device, determining an orientation associated with the actuator, and comparing a difference between the two orientations to an activation threshold. The actuator may be associated with an entryway such as a building doorway, a room doorway, or a vehicle door, or may be associated with a container such as a safe or vehicle trunk.

Abstract: Technologies are generally described for identifying whether a propagation path between a mobile device and an access point is line-of-sight. In some examples, a method performed under control of a mobile device may include receiving, from an access point, a first signal transmitted at a first frequency band; receiving, from the access point, a second signal transmitted at a second frequency band; measuring a difference value between propagation properties of the first signal and the second signal; and identifying whether a propagation path between the mobile device and the access point is line-of-sight or non-line-of-sight based at least in part on the difference value.