Abstract: An exercise feedback system receives exercise data such as images or video captured by client devices of users performing exercises. The exercise feedback system may access a machine learning model trained using image of a population of users. The images used for training may be labeled, for example, as having proper or improper musculoskeletal form. The exercise feedback system may determine a metrics describing the musculoskeletal form of a user by applying the trained machine learning model to images of the user as input features. The exercise feedback system may generate feedback for a certain exercise using the metrics based on output predictions of the model. The feedback can be provided to a client device of the user or a physical therapist for presentation.

Abstract: An exercise feedback system receives exercise data captured by client devices of users performing musculoskeletal exercises. The exercise feedback system may provide captured images to a client device of a physical trainer (PT) who remotely provides feedback on the users' exercise performances, for example, by labeling images as indicative of proper or improper musculoskeletal form. A PT may track multiple users using a central feed, which includes content displayed in an order based on ranking of users by a model. Additionally, the exercise feedback system may provide an augmented reality (AR) environment. For instance, an AR graphic indicating a target musculoskeletal form for an exercise is overlaid on a video feed displayed by a client device. Responsive to detecting that a user's form is aligned to the AR graphic, the exercise feedback system may notify the user and trigger the start of the exercise.

Abstract: An exercise feedback system receives exercise data captured by client devices of users performing musculoskeletal exercises. The exercise feedback system may provide captured images to a client device of a physical trainer (PT) who remotely provides feedback on the users' exercise performances, for example, by labeling images as indicative of proper or improper musculoskeletal form. A PT may track multiple users using a central feed, which includes content displayed in an order based on ranking of users by a model. Additionally, the exercise feedback system may provide an augmented reality (AR) environment. For instance, an AR graphic indicating a target musculoskeletal form for an exercise is overlaid on a video feed displayed by a client device. Responsive to detecting that a user's form is aligned to the AR graphic, the exercise feedback system may notify the user and trigger the start of the exercise.

Abstract: An exercise feedback system receives exercise data captured by client devices of users performing musculoskeletal exercises. The exercise feedback system may provide captured images to a client device of a physical trainer (PT) who remotely provides feedback on the users' exercise performances, for example, by labeling images as indicative of proper or improper musculoskeletal form. A PT may track multiple users using a central feed, which includes content displayed in an order based on ranking of users by a model. Additionally, the exercise feedback system may provide an augmented reality (AR) environment. For instance, an AR graphic indicating a target musculoskeletal form for an exercise is overlaid on a video feed displayed by a client device. Responsive to detecting that a user's form is aligned to the AR graphic, the exercise feedback system may notify the user and trigger the start of the exercise.

Abstract: A social environment is provided by creating an object in response to recognition of an entity in a portion of web content, wherein the object represents the entity, the object is associated with a type selected from a set of types, and the type is associated with a schema selected from a set of schemas, where the social environment includes a set of objects including the object, wherein the objects are instances of corresponding types in a rich system of predefined types, the schemas are associated with the types, metadata is associated with the objects, and there is at least one relationship between at least two objects selected from the set of objects, where the set of objects and the metadata are extensible, such that extensions provided by a first user are available for use by a second user. In one example, metadata provided by a first user is only available to a second user having a relationship with the first user.

Abstract: An exercise feedback system receives exercise data such as images or video captured by client devices of users performing exercises. The exercise feedback system may access a machine learning model trained using image of a population of users. The images used for training may be labeled, for example, as having proper or improper musculoskeletal form. The exercise feedback system may determine a metrics describing the musculoskeletal form of a user by applying the trained machine learning model to images of the user as input features. The exercise feedback system may generate feedback for a certain exercise using the metrics based on output predictions of the model. The feedback can be provided to a client device of the user or a physical therapist for presentation.

Abstract: An exercise feedback system receives exercise data captured by client devices of users performing musculoskeletal exercises. The exercise feedback system may provide captured images to a client device of a physical trainer (PT) who remotely provides feedback on the users' exercise performances, for example, by labeling images as indicative of proper or improper musculoskeletal form. A PT may track multiple users using a central feed, which includes content displayed in an order based on ranking of users by a model. Additionally, the exercise feedback system may provide an augmented reality (AR) environment. For instance, an AR graphic indicating a target musculoskeletal form for an exercise is overlaid on a video feed displayed by a client device. Responsive to detecting that a user's form is aligned to the AR graphic, the exercise feedback system may notify the user and trigger the start of the exercise.

Abstract: An exercise feedback system receives exercise data captured by client devices of users performing musculoskeletal exercises. The exercise feedback system may provide captured images to a client device of a physical trainer (PT) who remotely provides feedback on the users' exercise performances, for example, by labeling images as indicative of proper or improper musculoskeletal form. A PT may track multiple users using a central feed, which includes content displayed in an order based on ranking of users by a model. Additionally, the exercise feedback system may provide an augmented reality (AR) environment. For instance, an AR graphic indicating a target musculoskeletal form for an exercise is overlaid on a video feed displayed by a client device. Responsive to detecting that a user's form is aligned to the AR graphic, the exercise feedback system may notify the user and trigger the start of the exercise.

Abstract: An exercise feedback system receives exercise data captured by client devices of users performing musculoskeletal exercises. The exercise feedback system may provide captured images to a client device of a physical trainer (PT) who remotely provides feedback on the users' exercise performances, for example, by labeling images as indicative of proper or improper musculoskeletal form. A PT may track multiple users using a central feed, which includes content displayed in an order based on ranking of users by a model. Additionally, the exercise feedback system may provide an augmented reality (AR) environment. For instance, an AR graphic indicating a target musculoskeletal form for an exercise is overlaid on a video feed displayed by a client device. Responsive to detecting that a user's form is aligned to the AR graphic, the exercise feedback system may notify the user and trigger the start of the exercise.

Abstract: There are provided means for implementing an interface to view and explore socially relevant concepts of an entity graph including, for example, means of a social network system to perform operations including retrieving contextually relevant data for a plurality of concepts within an entity graph of the social network system; retrieving socially relevant data for a user's node within a social graph of the social network system; identifying intersects between the plurality of concepts within the entity graph and the social relevant data for the user's node within the social graph; selecting one of the plurality of concepts within the entity graph based on the intersects identified; and displaying the one of the plurality of concepts within the entity graph at a user interface associated with the user's node.

Abstract: There are provided means for implementing an interface to populate and update an entity graph through socially relevant user challenges including, for example, means of a social network system to perform operations including monitoring a user's interactions with the social network system; initiating a contextually relevant challenge for the user of the social network system based on the user's interactions monitored; identifying a plurality of concepts within an entity graph of the social network system contextually relevant to the user of the social network system; selecting one of the plurality of concepts within the entity graph upon which to base the contextually relevant challenge for the user; constructing an inquiry for the contextually relevant challenge based on missing data of the concept selected or based on data to be updated within the concept selected; presenting the contextually relevant challenge having the inquiry therein to the user; and receiving a challenge response from the user responsiv

Abstract: A social environment is provided by creating an object in response to recognition of an entity in a portion of web content, wherein the object represents the entity, the object is associated with a type selected from a set of types, and the type is associated with a schema selected from a set of schemas, where the social environment includes a set of objects including the object, wherein the objects are instances of corresponding types in a rich system of predefined types, the schemas are associated with the types, metadata is associated with the objects, and there is at least one relationship between at least two objects selected from the set of objects, where the set of objects and the metadata are extensible, such that extensions provided by a first user are available for use by a second user. In one example, metadata provided by a first user is only available to a second user having a relationship with the first user.

Abstract: There are provided means for implementing an interface to view and explore socially relevant concepts of an entity graph including, for example, means of a social network system to perform operations including retrieving contextually relevant data for a plurality of concepts within an entity graph of the social network system; retrieving socially relevant data for a user's node within a social graph of the social network system; identifying intersects between the plurality of concepts within the entity graph and the social relevant data for the user's node within the social graph; selecting one of the plurality of concepts within the entity graph based on the intersects identified; and displaying the one of the plurality of concepts within the entity graph at a user interface associated with the user's node.

Abstract: A method and system for inferring user attributes in a social networking system. The method includes maintaining a social graph comprising a plurality of nodes and a plurality of edges between the nodes. An unknown, incomplete, or inaccurate user attribute for a user is identified, and a plurality of probability lists are generated using a corresponding plurality of probability algorithms that utilize known user attributes and the social graph. The probability lists include a set of probability entries, each including a prediction value for the unknown, incomplete, or inaccurate user attribute and a confidence score. Using the probability lists and a plurality of weights corresponding to the probability algorithms, an inferred user attribute value is generated and stored.

Abstract: There are provided means for implementing an interface to view and explore socially relevant concepts of an entity graph including, for example, means of a social network system to perform operations including retrieving contextually relevant data for a plurality of concepts within an entity graph of the social network system; retrieving socially relevant data for a user's node within a social graph of the social network system; identifying intersects between the plurality of concepts within the entity graph and the social relevant data for the user's node within the social graph; selecting one of the plurality of concepts within the entity graph based on the intersects identified; and displaying the one of the plurality of concepts within the entity graph at a user interface associated with the user's node.

Abstract: A device, system, and method are directed towards sending a status of a user in a social network to a recipient. In one embodiment, a status of the user is received over a channel. The channel may include an application protocol. The recipient is selected based on a membership in the social network, a preference of the recipient, or a media format of the status. Another channel is selected based on information about a mode of communication between the recipient and the user and/or another member related to the user in the social network. The status may be modified based on social network information, preferences of a recipient, receiving device information, channel information, or the like. The status is forwarded to the recipient over the other channel. Forwarding may comprise unicasting, multicasting, and/or delaying sending the status until the other channel is available.

Abstract: A method and apparatus are provided for detecting and explaining bursty stream events in targeted groups. In one example, the method includes receiving validated bursty events, finding explanatory data sources having relevant bursty events that are relevant to the validated bursty events, wherein the explanatory sources explain the presence of the validated bursty events, correlating the validated bursty events to the relevant bursty events of the explanatory data sources to obtain burst results, and sending the burst results to a burst database that is accessible to an end user.

Abstract: Methods and apparatus are described for detecting social relationships across multiple networks and/or communication channels. These social relationships may then be utilized in a wide variety of ways to support and enhance a broad range of user services.

Abstract: There are provided means for implementing an interface to view and explore socially relevant concepts of an entity graph including, for example, means of a social network system to perform operations including retrieving contextually relevant data for a plurality of concepts within an entity graph of the social network system; retrieving socially relevant data for a user's node within a social graph of the social network system; identifying intersects between the plurality of concepts within the entity graph and the social relevant data for the user's node within the social graph; selecting one of the plurality of concepts within the entity graph based on the intersects identified; and displaying the one of the plurality of concepts within the entity graph at a user interface associated with the user's node.

Abstract: There are provided means for implementing an interface to populate and update an entity graph through socially relevant user challenges including, for example, means of a social network system to perform operations including monitoring a user's interactions with the social network system; initiating a contextually relevant challenge for the user of the social network system based on the user's interactions monitored; identifying a plurality of concepts within an entity graph of the social network system contextually relevant to the user of the social network system; selecting one of the plurality of concepts within the entity graph upon which to base the contextually relevant challenge for the user; constructing an inquiry for the contextually relevant challenge based on missing data of the concept selected or based on data to be updated within the concept selected; presenting the contextually relevant challenge having the inquiry therein to the user; and receiving a challenge response from the user responsiv