Abstract: The present disclosure relates to systems and methods for group-watching video streams. In one aspect the disclosed systems and methods may generate a multi-panel display of the viewers during viewing of the video streams. In another aspect, the systems and methods may capture and create one or more digital asset from viewer-generated content, such as a physical reaction, captured during the to the video stream. The system may generate the digital assets for subsequent use on social media.

Abstract: The present disclosure relates to systems and methods for fact-checking contemporary and/or live video streams. In one aspect, the disclosed systems and methods may provide fact-checked commentary and annotations to enhance the enjoyment and engagement with the streaming media. In one aspect, the systems and methods nay generate an overlay for the streaming media that includes fact-checked annotations and comments about statements or assertions made during the live streaming media.

Abstract: Data captured during a movement by the user in a real-world environment may be received from a user device associated with a user. A corresponding movement is rendered by a virtual character within a virtual environment based on the data. Video of the corresponding movement within the virtual reality environment is captured and associated with the data. The captured video and the data are provided to a recipient designated by the user. It is then verified that the recipient is performing the movement by comparing data regarding the recipient during play of the captured video to the data associated with the captured video.

Abstract: A method for verifying behavior associated with play of a game is described. The method includes receiving a characterization of a first player from a user account as being abusive and accessing a recording of the behavior of the first player stored for a pre-determined time period in response to receiving the characterization of the first player. The method further includes analyzing, by an artificial intelligence model, the behavior of the first player to determine whether the behavior is abusive. The operation of analyzing whether the behavior of the first player is abusive is performed to determine whether the characterization of the first player is accurate.

Abstract: One or more custom actions are stored in memory. Each of the custom actions is associated with a pattern of physical movement and a threshold. Physical movement data captured by a user device of the user is received and mapped to an identified one of the custom actions. When the physical movement data matches the associated pattern of physical movement within the associated threshold, it is determined that the user is authorized to access the identified custom action.

Abstract: Systems and methods for determining excessive motions or strained positions based on inputs associated with gameplay of game titles. A game intervention server may evaluate, based on learning models, posture, and physical motions of players for repetitive, unbalanced, or excessive motions, as well as gameplay quality patterns, and compare to thresholds for identifying unhealthy conditions. The game intervention server may make recommendations regarding breaks, stretches, warm-up/cool-down, curbing extended periods of play, etc. Notifications may be overlaid on screen with option to pause play without exiting game session. In-game events and requirements may also be adjusted based on learned insights to avoid excessive movement or counteract unbalanced movement.

Abstract: The present disclosure relates to systems and methods for fact-checking contemporary and/or live video streams. In one aspect, the disclosed systems and methods may provide fact-checked commentary and annotations to enhance the enjoyment and engagement with the streaming media. In one aspect, the systems and methods nay generate an overlay for the streaming media that includes fact-checked annotations and comments about statements or assertions made during the live streaming media.

Abstract: A method and system for assisting a play is disclosed. A gameplay of a user of media content that is associated with a game type is received. A skill involved in the gameplay of the user is determined based on the gameplay of the user and the game type. A skill level of the user is determined based on the gameplay of the user. A training curriculum is provided to the user based on the skill and the skill level of the user upon detecting a triggering event.

Abstract: Systems and methods for determining excessive motions or strained positions based on inputs associated with gameplay of game titles. A game intervention server may evaluate, based on learning models, posture, and physical motions of players for repetitive, unbalanced, or excessive motions, as well as gameplay quality patterns, and compare to thresholds for identifying unhealthy conditions. The game intervention server may make recommendations regarding breaks, stretches, warm-up/cool-down, curbing extended periods of play, etc. Notifications may be overlaid on screen with option to pause play without exiting game session. In-game events and requirements may also be adjusted based on learned insights to avoid excessive movement or counteract unbalanced movement.

Abstract: A map regarding one or more virtual actions may be stored in memory. The virtual actions may be associated with a set of data associated with performing a corresponding action in a real-world environment. Data regarding a action by a user in the real-world environment may be captured. A current progress level of the user within the virtual environment is identified. The current identified progress level is associated with one or more available virtual actions. The captured data may correspond to an identified one of the available virtual actions based on a match between the captured data and the set of data associated with the identified virtual action as indicated by the map. A search of one or more databases for instructions corresponding to the identified virtual action is initiated.

Abstract: Systems and methods for determining excessive motions or strained positions based on inputs associated with gameplay of game titles. A game intervention server may evaluate, based on learning models, posture, and physical motions of players for repetitive, unbalanced, or excessive motions, as well as gameplay quality patterns, and compare to thresholds for identifying unhealthy conditions. The game intervention server may make recommendations regarding breaks, stretches, warm-up/cool-down, curbing extended periods of play, etc. Notifications may be overlaid on screen with option to pause play without exiting game session. In-game events and requirements may also be adjusted based on learned insights to avoid excessive movement or counteract unbalanced movement.

Abstract: Data captured during a movement by the user in a real-world environment may be received from a user device associated with a user. A corresponding movement is rendered by a virtual character within a virtual environment based on the data. Video of the corresponding movement within the virtual reality environment is captured and associated with the data. The captured video and the data are provided to a recipient designated by the user. It is then verified that the recipient is performing the movement by comparing data regarding the recipient during play of the captured video to the data associated with the captured video.

Abstract: One or more custom actions are stored in memory. Each of the custom actions is associated with a pattern of physical movement and a threshold. Physical movement data captured by a user device of the user is received and mapped to an identified one of the custom actions. When the physical movement data matches the associated pattern of physical movement within the associated threshold, it is determined that the user is authorized to access the identified custom action.

Abstract: A method for verifying behavior associated with play of a game is described. The method includes receiving a characterization of a first player from a user account as being abusive and accessing a recording of the behavior of the first player stored for a pre-determined time period in response to receiving the characterization of the first player. The method further includes analyzing, by an artificial intelligence model, the behavior of the first player to determine whether the behavior is abusive. The operation of analyzing whether the behavior of the first player is abusive is performed to determine whether the characterization of the first player is accurate.

Abstract: The present disclosure relates to systems and methods for fact-checking contemporary and/or live video streams. In one aspect, the disclosed systems and methods may provide fact-checked commentary and annotations to enhance the enjoyment and engagement with the streaming media. In one aspect, the systems and methods nay generate an overlay for the streaming media that includes fact-checked annotations and comments about statements or assertions made during the live streaming media.

Abstract: A method and system for assisting a play is disclosed. A gameplay of a user of media content that is associated with a game type is received. A skill involved in the gameplay of the user is determined based on the gameplay of the user and the game type. A skill level of the user is determined based on the gameplay of the user. A training curriculum is provided to the user based on the skill and the skill level of the user upon detecting a triggering event.

Abstract: A method for verifying behavior associated with play of a game is described. The method includes receiving a characterization of a first player from a user account as being abusive and accessing a recording of the behavior of the first player stored for a pre-determined time period in response to receiving the characterization of the first player. The method further includes analyzing, by an artificial intelligence model, the behavior of the first player to determine whether the behavior is abusive. The operation of analyzing whether the behavior of the first player is abusive is performed to determine whether the characterization of the first player is accurate.

Abstract: The present disclosure relates to systems and methods for fact-checking contemporary and/or live video streams. In one aspect, the disclosed systems and methods may provide fact-checked commentary and annotations to enhance the enjoyment and engagement with the streaming media. In one aspect, the systems and methods nay generate an overlay for the streaming media that includes fact-checked annotations and comments about statements or assertions made during the live streaming media.

Abstract: The present disclosure generally relates to systems and methods to generate dynamic and customizable presentations of eSports events. The presentations may vary according viewing rights associated with various ticket or subscription tiers. Additionally, views may provide feedback to change the perspectives provide during the presentation. In other aspects, the eSports presentation may be modified based on the type of game being played, in game actions analyzed in real time or predicted player actions or tendencies.

Abstract: The present disclosure relates to systems and methods for group-watching video streams. In one aspect the disclosed systems and methods may generate a multi-panel display of the viewers during viewing of the video streams. In another aspect, the systems and methods may capture and create one or more digital asset from viewer-generated content, such as a physical reaction, captured during the to the video stream. The system may generate the digital assets for subsequent use on social media.