Modifying the Modality of a Computing Device Based Upon a User's Brain Activity
OwnerJohn C. Gordon, Kazuhito Koishidainventors
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OwnerJohn C. Gordon, Kazuhito Koishidainventors
Estimating the term…
Technologies are described herein for modifying the modality of a computing device based upon a user's brain activity. A machine learning classifier is trained using data that identifies a modality for operating a computing device and data identifying brain activity of a user of the computing device. Once trained, the machine learning classifier can select a mode of operation for the computing device based upon a user's current brain activity and, potentially, other biological data. The computing device can then be operated in accordance with the selected modality. An application programming interface can also expose an interface through which an operating system and application programs executing on the computing device can obtain data identifying the modality selected by the machine learning classifier. Through the use of this data, the operating system and application programs can modify their mode of operation to be most suitable for the user's current mental state.
A computer-implemented method, comprising:
An apparatus, comprising:
A computer storage medium having computer executable instructions stored thereon which, when executed by one or more processors, cause the processors to:
Dependencies are inferred from the claim text.