Abstract: Systems and methods for account data association with voice interface devices are disclosed. For example, when a host user/primary user and guest user have consented for account data to be associated with the primary user's devices, a request to associate the account data may be received. Voice and device-based authentication may be performed to confirm the identity of the guest user and the guest user's account data may be associated with the primary user's devices. During a guest session, voice recognition may be utilized to determine if a given user utterance is from the guest user or the primary user, and actions may be performed by the voice interface device accordingly.

Abstract: Systems and methods for account data association with voice interface devices are disclosed. For example, when a host user/primary user and guest user have consented for account data to be associated with the primary user's devices, a request to associate the account data may be received. Voice and device-based authentication may be performed to confirm the identity of the guest user and the guest user's account data may be associated with the primary user's devices. During a guest session, voice recognition may be utilized to determine if a given user utterance is from the guest user or the primary user, and actions may be performed by the voice interface device accordingly.

Abstract: Systems and methods for account data association with voice interface devices are disclosed. For example, when a host user/primary user and guest user have consented for account data to be associated with the primary user's devices, a request to associate the account data may be received. Voice and device-based authentication may be performed to confirm the identity of the guest user and the guest user's account data may be associated with the primary user's devices. During a guest session, voice recognition may be utilized to determine if a given user utterance is from the guest user or the primary user, and actions may be performed by the voice interface device accordingly.

Abstract: Systems and methods for estimating a gaze vector of an eye using a trained neural network. An input image of the eye may be received from a camera. The input image may be provided to the neural network. Network output data may be generated using the neural network. The network output data may include two-dimensional (2D) pupil data, eye segmentation data, and/or cornea center data. The gaze vector may be computed based on the network output data. The neural network may be previously trained by providing a training input image to the neural network, generating training network output data, receiving ground-truth (GT) data, computing error data based on a difference between the training network output data and the GT data, and modifying the neural network based on the error data.

Abstract: Techniques related to the computation of gaze vectors of users of wearable devices are disclosed. A neural network may be trained through first and second training steps. The neural network may include a set of feature encoding layers and a plurality of sets of task-specific layers that each operate on an output of the set of feature encoding layers. During the first training step, a first image of a first eye may be provided to the neural network, eye segmentation data may be generated using the neural network, and the set of feature encoding layers may be trained. During the second training step, a second image of a second eye may be provided to the neural network, network output data may be generated using the neural network, and the plurality of sets of task-specific layers may be trained.

Abstract: Systems and methods for account data association with voice interface devices are disclosed. For example, when a host user/primary user and guest user have consented for account data to be associated with the primary user's devices, a request to associate the account data may be received. Voice and device-based authentication may be performed to confirm the identity of the guest user and the guest user's account data may be associated with the primary user's devices. During a guest session, voice recognition may be utilized to determine if a given user utterance is from the guest user or the primary user, and actions may be performed by the voice interface device accordingly.

Abstract: Systems and methods for account data association with voice interface devices are disclosed. For example, when a host user/primary user and guest user have consented for account data to be associated with the primary user's devices, a request to associate the account data may be received. Voice and device-based authentication may be performed to confirm the identity of the guest user and the guest user's account data may be associated with the primary user's devices. During a guest session, voice recognition may be utilized to determine if a given user utterance is from the guest user or the primary user, and actions may be performed by the voice interface device accordingly.

Abstract: Systems and methods for estimating a gaze vector of an eye using a trained neural network. An input image of the eye may be received from a camera. The input image may be provided to the neural network. Network output data may be generated using the neural network. The network output data may include two-dimensional (2D) pupil data, eye segmentation data, and/or cornea center data. The gaze vector may be computed based on the network output data. The neural network may be previously trained by providing a training input image to the neural network, generating training network output data, receiving ground-truth (GT) data, computing error data based on a difference between the training network output data and the GT data, and modifying the neural network based on the error data.

Abstract: Systems and methods for account data association with voice interface devices are disclosed. For example, when a host user/primary user and guest user have consented for account data to be associated with the primary user's devices, a request to associate the account data may be received. Voice and device-based authentication may be performed to confirm the identity of the guest user and the guest user's account data may be associated with the primary user's devices. During a guest session, voice recognition may be utilized to determine if a given user utterance is from the guest user or the primary user, and actions may be performed by the voice interface device accordingly.

Abstract: Systems and methods for account data association with voice interface devices are disclosed. For example, when a host user/primary user and guest user have consented for account data to be associated with the primary user's devices, a request to associate the account data may be received. Voice and device-based authentication may be performed to confirm the identity of the guest user and the guest user's account data may be associated with the primary user's devices. During a guest session, voice recognition may be utilized to determine if a given user utterance is from the guest user or the primary user, and actions may be performed by the voice interface device accordingly.