Abstract: A robotic cleaner may include a main body, one or more drive wheels coupled to the main body, one or more surface type sensors coupled to the main body, the one or more surface type sensors being configured to receive robotic motor sound reflected from a surface to be cleaned, the robotic motor sound being generated by one or more motors of the robotic cleaner, and a controller configured to determine a surface type based, at least in part, on the reflected robotic motor sound.

Abstract: A user system for rendering accessibility enhanced content includes processing hardware, a display, and a memory storing software code. The processing hardware executes the software code to receive primary content from a content distributor and determine whether the primary content is accessibility enhanced content including an accessibility track. When the primary content omits the accessibility track, the processing hardware executes the software code to perform a visual analysis, an audio analysis, or both, of the primary content, generate, based on the visual analysis and/or the audio analysis, the accessibility track to include at least one of a sign language performance or one or more video tokens configured to be played back during playback of the primary content, and synchronize the accessibility track to the primary content. The processing hardware also executes the software code to render, using the display, the primary content or the accessibility enhanced content.

Abstract: A user system for rendering accessibility enhanced content includes processing hardware, a display, and a memory storing software code. The processing hardware executes the software code to receive primary content from a content distributor and determine whether the primary content is accessibility enhanced content including an accessibility track. When the primary content omits the accessibility track, the processing hardware executes the software code to perform a visual analysis, an audio analysis, or both, of the primary content, generate, based on the visual analysis and/or the audio analysis, the accessibility track to include at least one of a sign language performance or one or more video tokens configured to be played back during playback of the primary content, and synchronize the accessibility track to the primary content. The processing hardware also executes the software code to render, using the display, the primary content or the accessibility enhanced content.

Abstract: A method of providing configurable control of voice command systems is disclosed herein. The method comprising a parent device receiving a voice command and comparing the voice command to a set of preferences for a user. The set of preferences may relate to one or more interactions between the user and a playback device. The method further comprises the parent device translating the voice command to a user interface (UI) command sequence for the playback device based on the comparison. The playback device may then send the UI command sequence to the playback device as the configurable voice command. The playback device executes the UI command sequence to transition from the current output state to the desired output state intended by the user. A system for providing configurable voice control and computer program product are also disclosed.

Abstract: A recommendation engine generates contextually relevant media programs tailored to the specific context of the user. The recommendation engine interfaces with one or more Internet-of-Things (IoT) appliances to determine one or more food items stored within the IoT appliance(s) and/or one or more cooking capabilities associated with the IoT appliance(s). The recommendation engine also gathers profile data that reflects a set of preferences associated with the user. Based on the gathered data, the recommendation engine queries a database of cooking program data associated with various cooking programs. The recommendation engine obtains cooking program data that is contextually relevant to the user and then generates a contextual cooking program that describes how to perform a given recipe. During playback of the contextual cooking program, the recommendation engine can modify the contextual cooking program based on the progress of the user in following the recipe.

Abstract: A method of providing configurable control of voice command systems is disclosed herein. The method comprising a parent device receiving a voice command and comparing the voice command to a set of preferences for a user. The set of preferences may relate to one or more interactions between the user and a playback device. The method further comprises the parent device translating the voice command to a user interface (UI) command sequence for the playback device based on the comparison. The playback device may then send the UI command sequence to the playback device as the configurable voice command. The playback device executes the UI command sequence to transition from the current output state to the desired output state intended by the user. A system for providing configurable voice control and computer program product are also disclosed.

Abstract: A recommendation engine generates contextually relevant media programs tailored to the specific context of the user. The recommendation engine interfaces with one or more Internet-of-Things (IoT) appliances to determine one or more food items stored within the IoT appliance(s) and/or one or more cooking capabilities associated with the IoT appliance(s). The recommendation engine also gathers profile data that reflects a set of preferences associated with the user. Based on the gathered data, the recommendation engine queries a database of cooking program data associated with various cooking programs. The recommendation engine obtains cooking program data that is contextually relevant to the user and then generates a contextual cooking program that describes how to perform a given recipe. During playback of the contextual cooking program, the recommendation engine can modify the contextual cooking program based on the progress of the user in following the recipe.

Abstract: A robotic cleaner may include a main body, one or more drive wheels coupled to the main body, one or more surface type sensors coupled to the main body, the one or more surface type sensors being configured to receive robotic motor sound reflected from a surface to be cleaned, the robotic motor sound being generated by one or more motors of the robotic cleaner, and a controller configured to determine a surface type based, at least in part, on the reflected robotic motor sound.

Abstract: Systems, devices and methods for advanced electrode management in neurological monitoring applications include receiving sockets configured to receive connectors having groups of electrodes. The physician is not required to manually map each electrode with its corresponding input channel. Electrodes are coupled to the corresponding input channels in groups through connectors having a unique identification (ID). The system is configured to read the unique ID of each connector and establish its identity. Based on the ID, the system configures itself to automatically correlate or associate each electrode with its corresponding input channel when the connectors are first inserted into the receiving sockets, and again if the connectors are removed and re-inserted into different positions in the receiving sockets, to insure the electrodes are always mapped to the same input channels.