Abstract:
A process at an electronic computing device (device) for automatic and selective context-based gating of an electronic digital assistant speech-output function includes detecting, via a sensor communicatively coupled to the device or via a notification received at the device, an event associated with a need to reduce a cognitive load on the user. Responsively, temporarily gating a portion of an electronic digital assistant speech-output function to prevent reproduction to the user of one or more first speech-output events generated during a first period of time associated with the event. Subsequently, and after detecting that the event has ended, ending the temporary gating to allow reproduction of one or more second speech-output events generated during a second period of time after the event has ended.
Abstract:
A process at an electronic computing device (device) for automatic and selective context-based gating of an electronic digital assistant speech-output function includes detecting, via a sensor communicatively coupled to the device or via a notification received at the device, an event associated with a need to reduce a cognitive load on the user. Responsively, temporarily gating a portion of an electronic digital assistant speech-output function to prevent reproduction to the user of one or more first speech-output events generated during a first period of time associated with the event. Subsequently, and after detecting that the event has ended, ending the temporary gating to allow reproduction of one or more second speech-output events generated during a second period of time after the event has ended.
Abstract:
Disclosed is a process for performance monitoring and feedback for facial recognition systems. A first image for image matching from a camera capture device at a first location is received for purposes of image matching. A highest match confidence score of the first image to a particular stored enrollment image is determined. One or more image or user characteristics associated with the first image or first user is identified. The identified image or user characteristics and highest match confidence score are added to a facial recognition monitoring and feedback model. Subsequently, a particular one of the stored image or user characteristics consistently associated with a below-threshold highest match confidence score is identified, and a notification is displayed or transmitted including an indication of an identified facial recognition low match pattern and identifying the particular one of the stored image characteristics or user characteristics.
Abstract:
Disclosed is a process for performance monitoring and feedback for facial recognition systems. A first image for image matching from a camera capture device at a first location is received for purposes of image matching. A highest match confidence score of the first image to a particular stored enrollment image is determined. One or more image or user characteristics associated with the first image or first user is identified. The identified image or user characteristics and highest match confidence score are added to a facial recognition monitoring and feedback model. Subsequently, a particular one of the stored image or user characteristics consistently associated with a below-threshold highest match confidence score is identified, and a notification is displayed or transmitted including an indication of an identified facial recognition low match pattern and identifying the particular one of the stored image characteristics or user characteristics.
Abstract:
Disclosed herein are methods and systems for allocating resources from component carriers to a public-safety mobile radio. An embodiment takes the form of a process that is carried out by carried out by a Long-Term Evolution (LTE) Evolved Node B (eNodeB). The eNodeB makes a first determination to allocate resources to a given mobile radio. The eNodeB makes a second determination that the given mobile radio is a public-safety mobile radio. In response to making the first and second determinations, the eNodeB selects, based on one or more public-safety-communication criteria, a component carrier from among a plurality of component carriers managed by the eNodeB. The eNodeB allocates resources on the selected eNodeB component carrier to the given mobile radio.