Microsoft Technology Licensing, LLC

David Emerson Johnston

Ivan Jelev Tashev

Hannes Gamper

Mark R P Thomas

John Carlton Platt

Piotr Tadeusz Bilinski

Jens Ahrens

Andrew David Wilson

Christian Holz

Edward Bryan Cutrell

Mihai R Jalobeanu

Hakim Si Mohammed

Adrian Kuo Ching Lee

Dimitra Emmanouilidou

Archontis Politis

Mark Richard Paul Thomas

A computer device is provided that includes a display device, and a sensor system configured to be mounted adjacent to a user's head and to measure an electrical potential near one or more electrodes of the sensor system. The computer device further includes a processor configured to present a periodic motion-based visual stimulus having a changing motion that is frequency-modulated for a target frequency or code-modulated for a target code, detect changes in the electrical potential via the one or more electrodes, identify a corresponding visual evoked potential feature in the detected changes in electrical potential that corresponds to the periodic motion-based visual stimulus, and recognize a user input to the computing device based on identifying the corresponding visual evoked potential feature.

Periodic motion-based visual stimulus

The derivation of personalized HRTFs for a human subject based on the anthropometric feature parameters of the human subject involves obtaining multiple anthropometric feature parameters and multiple HRTFs of multiple training subjects. Subsequently, multiple anthropometric feature parameters of a human subject are acquired. A representation of the statistical relationship between the plurality of anthropometric feature parameters of the human subject and a subset of the multiple anthropometric feature parameters belonging to the plurality of training subjects is determined. The representation of the statistical relationship is then applied to the multiple HRTFs of the plurality of training subjects to obtain a set of personalized HRTFs for the human subject.

HRTF personalization based on anthropometric features

Systems and methods for HRTF personalization are provided. More specifically, the systems and methods provide HRTF personalization utilizing non-parametric processing of three-dimensional head scans. Accordingly, the systems and methods for HRTF personalization generate a personalized set of HRTFs for a user without having to extract specific geometric and/or anthropometric features from a three dimensional head scan of a user and/or from the three dimensional head scans of training subjects in a database.

Systems and methods for non-parametric processing of head geometry for HRTF personalization

Systems and methods of providing an audio signal are disclosed herein. In one embodiment, a method of delivering an audio signal from a device toward a user's ear includes, for example, transmitting a filtered audio signal from a transducer positioned at a location on the device that is longitudinally spaced apart from an entrance of an auditory canal of the user's ear when the device is worn on the user's head.

Systems and methods for audio creation and delivery

Systems and methods for HRTF personalization are provided. More specifically, the systems and methods provide HRTF personalization for a user based on a depth image of the user. Accordingly, the provided systems and methods are less complicated, easier to use, and easier to implement for personalizing HRTFs when compared to previously utilized systems and methods that required high-resolution three-dimensional head scans or one or more specific and/or discrete anthropomorphic measurements of the user.

Systems and methods for HRTF personalization

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Bellevue, WA, United States of America

David Emerson Johnston