Inferring assistant action(s) based on ambient sensing by assistant device(s)
AssigneeGoogle Inc.
InventorsVictor Carbune, Matthew Sharifi
Life of this patent
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AssigneeGoogle Inc.
InventorsVictor Carbune, Matthew Sharifi
Estimating the term…
Implementations can determine an ambient state that reflects a state of a user and/or an environment of the user based on an instance of sensor data. The ambient state can be processed, using an ambient sensing machine learning (ML) model, to generate suggested action(s) that are suggested to be performed, on behalf of the user, by an automated assistant. In some implementations, a corresponding representation of the suggested action(s) can be provided for presentation to the user, and the suggested action(s) can be performed by the automated assistant in response to a user selection of the suggested action(s). In additional or alternative implementations, the suggested action(s) can be automatically performed by the automated assistant. Implementations can additionally or alternatively generate training instances for training the ambient sensing ML model based on interactions with the automated assistant.
A method implemented by one or more processors, the method comprising:
A system comprising:
A non-transitory computer-readable storage medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform operations to:
Dependencies are inferred from the claim text.