Abstract: A system has an evaluation server that includes at least one database storing a plurality of cybersecurity awareness evaluations, the database connected to the server, a plurality of clients connected to the server and configured to run at least one of the cybersecurity awareness evaluations for play by users on user devices, the users performing actions in the evaluation including offensive actions and defensive actions, and an evaluation dashboard including an interface configured to display scoring results of the cybersecurity awareness evaluations as determined by the server, the scoring results including a plurality of offensive component scores for at least one of the users, a plurality of defensive component scores for at least one of the users, at least one composite offensive score for at least one of the users and at least one composite defensive score for at least one of the users, the composite offensive score being determined based on a plurality of the component offensive scores and the composit

Abstract: A system has an evaluation server that includes at least one database storing a plurality of cybersecurity awareness evaluations, the database connected to the server, a plurality of clients connected to the server and configured to run at least one of the cybersecurity awareness evaluations for play by users on user devices, the users performing actions in the evaluation including offensive actions and defensive actions, and an evaluation dashboard including an interface configured to display scoring results of the cybersecurity awareness evaluations as determined by the server, the scoring results including a plurality of offensive component scores for at least one of the users, a plurality of defensive component scores for at least one of the users, at least one composite offensive score for at least one of the users and at least one composite defensive score for at least one of the users, the composite offensive score being determined based on a plurality of the component offensive scores and the composit

Abstract: Systems and methods are provided for presenting a cybersecurity training game to one or more players. The game comprises a turn-based game in which two players take turns playing entities, such as game cards, which have attributes or effects. Each player's objective is to attack and destroy one or more devices belonging to the other player/opponent and set up defenses to mitigate attacks on their own devices, so that the player destroys the devices belonging to the other player/opponent before the other player/opponent attacks and destroys their own devices, using game cards that are dealt to or acquired by them.

Abstract: A system has an evaluation server that includes at least one database storing a plurality of cybersecurity awareness evaluations, the database connected to the server, a plurality of clients connected to the server and configured to run at least one of the cybersecurity awareness evaluations for play by users on user devices, the users performing actions in the evaluation including offensive actions and defensive actions, and an evaluation dashboard including an interface configured to display scoring results of the cybersecurity awareness evaluations as determined by the server, the scoring results including a plurality of offensive component scores for at least one of the users, a plurality of defensive component scores for at least one of the users, at least one composite offensive score for at least one of the users and at least one composite defensive score for at least one of the users, the composite offensive score being determined based on a plurality of the component offensive scores and the composit

Abstract: A data exchange system is disclosed herein for receiving motion and attribute data corresponding to user interactions via a robot animation application. The motion and attribute data can be associated with a virtual animation of a virtual character using the robot animation application on a computing device. The data exchange system can translate the motion and attribute data for implementation on a physical or virtual robotic device to perform the virtual animation.

Abstract: A system can use a microphone to detect audio content from a content source, and analyze the audio content to determine whether the audio content corresponds to a respective portion of a stored content file. The system can then identify a response action correlated to the respective portion of the content file, and generate control commands to cause a robotic device to perform the response action.

Abstract: A computing device can augment video content by receiving video content from an image capturing device and detecting and tracking a self-propelled device in the video content. The computing device can display a plurality of augmented reality elements selectable to augment the self-propelled device and receive a user selection of one of the plurality of augmented reality elements to augment the self-propelled device. The computing device may then augment the self-propelled device in the video content by superimposing the selected augmented reality element over the self-propelled device as the self-propelled device moves.

Abstract: A signal detection system can trigger virtual resource allocation based on detected signals. The signal detection system can detect network devices and perform a lookup to determine whether a UID of a respective network device is associated with a particular item. Such items may include individuals, locations, and various other items, such as virtual resources, in connection with a task-oriented application. As an example, virtual resources may be collected based on such detection events and utilized by a user during task-oriented operations, such as gameplay.

Abstract: A computing device can augment video content by receiving video content from an image capturing device and detecting and tracking a self-propelled device in the video content. The computing device can display a plurality of augmented reality elements selectable to augment the self-propelled device and receive a user selection of one of the plurality of augmented reality elements to augment the self-propelled device. The computing device may then augment the self-propelled device in the video content by superimposing the selected augmented reality element over the self-propelled device as the self-propelled device moves.

Abstract: A computing device can augment video content by receiving video content from an image capturing device and detecting and tracking a self-propelled device in the video content. The computing device can display a plurality of augmented reality elements selectable to augment the self-propelled device and receive a user selection of one of the plurality of augmented reality elements to augment the self-propelled device. The computing device may then augment the self-propelled device in the video content by superimposing the selected augmented reality element over the self-propelled device as the self-propelled device moves.

Abstract: A system and method are disclosed for processing data content. Received data content comprises a scene and includes one or more recognized objects. The recognized object(s) include various characteristics, and can be detected and tracked during content capture. The data content can then be stored, and incorporated with metadata associated with the recognized object and/or one or more other elements in the data content. User inputs can be enabled in real-time, or post-capture, to augment one or more of the elements in the stored data content, including one or more characteristics of the recognized object. The data content can then be augmented to introduce one or more augmented elements, corresponding to respective elements of the data content, into the data content based on the user inputs.

Abstract: A system and method are disclosed for processing data content. Received data content comprises a scene and includes one or more recognized objects. The recognized object(s) include various characteristics, and can be detected and tracked during content capture. The data content can then be stored, and incorporated with metadata associated with the recognized object and/or one or more other elements in the data content. User inputs can be enabled in real-time, or post-capture, to augment one or more of the elements in the stored data content, including one or more characteristics of the recognized object. The data content can then be augmented to introduce one or more augmented elements, corresponding to respective elements of the data content, into the data content based on the user inputs.