Abstract: This invention proposes a solution by including numerous environmental factors and sensor input to provide additional context for an appropriate Lighting setting at any particular moment. The invention will continually evaluate and adjust lighting behavior based on numerous factors.

Abstract: A system configured for contextualizing data. The system may receive first data, and may transform the first data into modified first data. The system may train a first language model to identify first feature(s) from the modified first data to create a trained first language model. The system may receive second data, and may transform the second data into modified second data. The system may identify, via the trained first language model, the first feature(s) from a first portion of the modified second data. The system may dynamically map the first portion of the modified second data to one or more first categories. The system may generate a first customized report based on one or more of the modified second data, the first feature(s), the one or more first categories, or combinations thereof.

Abstract: Systems and methods are disclosed for encouraging physical activity among one or more subjects by using sensors to track motion and other physical activity of the subject; creating an activity index based on the tracked data to measure overall activity levels; and providing feedback to the senior through a chatbot or other interface to encourage physical activity and suggest changes to their routines.

Abstract: Methods and systems for remote multiplayer gameplay are disclosed. An example method can include joining a multiplayer interactive physical game including first and second players competing in an activity; capturing a first game video of a first player in a first play of the multiplayer interactive physical game, using a first camera on a first mobile computing device in a first gaming area; determining a first object flow associated with the first player from the first game video, by performing an algorithm on one or more frames of the first game video to detect one or more key points of the first player; generating a first analytic based on the first object flow; receiving a second analytic associated with the second player in a second gaming area; and generating a feedback to the first player based on the first analytic or the second analytic.

Abstract: Methods and systems for remote multiplayer gameplay are disclosed. An example method can include joining a multiplayer interactive physical game including first and second players competing in an activity; capturing a first game video of a first player in a first play of the multiplayer interactive physical game, using a first camera on a first mobile computing device in a first gaming area; determining a first object flow associated with the first player from the first game video, by performing an algorithm on one or more frames of the first game video to detect one or more key points of the first player; generating a first analytic based on the first object flow; receiving a second analytic associated with the second player in a second gaming area; and generating a feedback to the first player based on the first analytic or the second analytic.

Abstract: Systems and methods are disclosed to assist a subject by capturing streaming data from one or more sensors; applying one or more deep learning models to identify one or more activities of the person; applying one or more directed acyclic graphs (DAGs) to the streaming data and the one or more activities of the person to identify a pattern from the streaming data for alert or notification of one or more predefined conditions affecting wellness; retraining the one or more deep learning models based on the subject's usage patterns; automatically adjusting one or more notification thresholds based on the learned patterns; and generating one or more notifications or alerts to a caregiver or a family member to assist the person based on the learned usage patterns.

Abstract: This invention proposes a solution by including numerous environmental factors and sensor input to provide additional context for an appropriate Lighting setting at any particular moment. The invention will continually evaluate and adjust lighting behavior based on numerous factors.

Abstract: Systems and methods are disclosed to provide personalized care for a subject by capturing streaming data from one or more sensors; applying one or more deep learning models to identify one or more activities of the person; and providing a chatbot interface accessible through a voice assistant device that initiates an exercise session per day and guides the subject through the exercise, the chatbot interface further adapted to learn and remember information about the resident through a chat history, thereby personalizing its interactions with the resident and encouraging engagement; and the chatbot interface further adapted to initiate interesting conversations throughout the day and gauge the overall well-being of the resident.

Abstract: Systems and methods are disclosed to monitor wellness of a person by capturing streaming data from one or more sensors; applying one or more deep learning models to identify one or more activities of the person; applying one or more directed acyclic graphs (DAGs) to the streaming data and the one or more activities of the person to identify a pattern from the streaming data for alert or notification of one or more predefined conditions affecting wellness; and generating one or more notifications or alerts to a caregiver or a family member to assist the person.

Abstract: Systems and methods are disclosed for encouraging physical activity among one or more subjects by using sensors to track motion and other physical activity of the subject; creating an activity index based on the tracked data to measure overall activity levels; and providing feedback to the senior through a chatbot or other interface to encourage physical activity and suggest changes to their routines.

Abstract: A machine learning model for traversing a decision tree, the machine learning model trained from a structured data set including a first set of key-value pairs and subject-specific criteria using the key-value pairs. The first set of key-value pairs is transformed into a second set of key-value pairs, which are projected to a subject-specific point within a multi-dimensional space. The decision tree includes decision and leaf nodes. Each leaf node is connected to a root node via a leaf-node-specific trajectory. Each decision node corresponds to a criterion using a value in the second set of key-value pairs. For each leaf node, a leaf-node-specific point within the multi-dimensional space is determined using the leaf-node-specific trajectory, and a similarity score is determined using the leaf-node-specific and subject-specific points. A subset of the leaf nodes is identified using the scores. State or protocol information for each leaf node in the subset is retrieved.

Abstract: Methods and systems for remote multiplayer gameplay are disclosed. An example method can include joining a multiplayer interactive physical game including first and second players competing in an activity; capturing a first game video of a first player in a first play of the multiplayer interactive physical game, using a first camera on a first mobile computing device in a first gaming area; determining a first object flow associated with the first player from the first game video, by performing an algorithm on one or more frames of the first game video to detect one or more key points of the first player; generating a first analytic based on the first object flow; receiving a second analytic associated with the second player in a second gaming area; and generating a feedback to the first player based on the first analytic or the second analytic.

Abstract: Methods and systems for remote multiplayer gameplay are disclosed. An example method can include joining a multiplayer interactive physical game including first and second players competing in an activity; capturing a first game video of a first player in a first play of the multiplayer interactive physical game, using a first camera on a first mobile computing device in a first gaming area; determining a first object flow associated with the first player from the first game video, by performing an algorithm on one or more frames of the first game video to detect one or more key points of the first player; generating a first analytic based on the first object flow; receiving a second analytic associated with the second player in a second gaming area; and generating a feedback to the first player based on the first analytic or the second analytic.

Abstract: Methods and systems for remote multiplayer gameplay are disclosed. An example method can include joining a multiplayer interactive physical game including first and second players competing in an activity; capturing a first game video of a first player in a first play of the multiplayer interactive physical game, using a first camera on a first mobile computing device in a first gaming area; determining a first object flow associated with the first player from the first game video, by performing an algorithm on one or more frames of the first game video to detect one or more key points of the first player; generating a first analytic based on the first object flow; receiving a second analytic associated with the second player in a second gaming area; and generating a feedback to the first player based on the first analytic or the second analytic.

Abstract: Methods and systems for remote real-time or asynchronous multiplayer gameplay using mobile devices are disclosed. The methods and systems include steps of mounting mobile computing devices in gaming areas associated with users; initiating a game between the users; analyzing movements of the users, ball(s), and/or other game equipment of the game by performing a computer vision algorithm on one or more frames of an input video of the game; and providing feedback to the users, where feedback may include instructions to be performed by the users and player analytics. Embodiments of the present invention use computer vision techniques to enable a resource-limited mobile device such as a smartphone to conduct the aforementioned steps.

Abstract: Methods and systems for remote real-time or asynchronous multiplayer gameplay using mobile devices are disclosed. The methods and systems include steps of mounting mobile computing devices in gaming areas associated with users; initiating a game between the users; analyzing movements of the users, ball(s), and/or other game equipment of the game by performing a computer vision algorithm on one or more frames of an input video of the game; and providing feedback to the users, where feedback may include instructions to be performed by the users and player analytics. Embodiments of the present invention use computer vision techniques to enable a resource-limited mobile device such as a smartphone to conduct the aforementioned steps.