Microsoft Technology Licensing, LLC

Jaeyoun Kim

Bill Chau

Kazuhito Koishida

Cem Keskin

Khuram Shahid

Vaibhav Thukral

Lev Cherkashin

David Keesu Kim

Thomas Charles Butcher

Christopher Maurice Mei

Yaser Khan

Chris Aholt

Nguyen Bach

Chris Huybreqts

Disclosed are an apparatus and a method of low-latency, low-power eye tracking. In some embodiments, the eye tracking method operates a first sensor having a first level of power consumption that tracks positions of an eye of a user. In response to detection that the eye does not change position for a time period, the method stops operation of the first sensor and instead operates a second sensor that detects a change of position of the eye. The second sensor has a level of power consumption lower than the level of power consumption of the first sensor. Once the eye position changes, the second sensor resumes operation.

Eye tracking using video information and electrooculography information

Computer systems, methods, and storage media for generating a continuous motion control using neurological data and for associating the continuous motion control with a continuous user interface control to enable analog control of the user interface control. The user interface control is modulated through a user's physical movements within a continuous range of motion associated with the continuous motion control. The continuous motion control enables fine-tuned and continuous control of the corresponding user interface control as opposed to control limited to a small number of discrete settings.

Continuous motion controls operable using neurological data

Systems, methods, and computer-readable storage media are provided for recognizing emotion in audio signals in real-time. An audio signal is detected and a rapid audio fingerprint is computed on a user's computing device. One or more features is extracted from the audio fingerprint and compared with features associated with defined emotions to determine relative degrees of similarity. Confidence scores are computed for the defined emotions based on the relative degrees of similarity and it is determined whether a confidence score for one or more particular emotions exceeds a threshold confidence score. If it is determined that a threshold confidence score for one or more particular emotions is exceeded, the particular emotion or emotions are associated with the audio signal. As desired, various action then may be initiated based upon the emotion/emotions associated with the audio signal.

Real-time emotion recognition from audio signals

Computer systems, methods, and storage media for changing the state of an application by detecting neurological user intent data associated with a particular operation of a particular application state, and changing the application state so as to enable execution of the particular operation as intended by the user. The application state is automatically changed to align with the intended operation, as determined by received neurological user intent data, so that the intended operation is performed. Some embodiments relate to a computer system creating or updating a state machine, through a training process, to change the state of an application according to detected neurological data.

Changing an application state using neurological data

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Issaquah, WA, United States of America

Jaeyoun Kim