Abstract: In a motion capture system having a depth camera, access to an electronic media device such as personal computer or a game console with Internet connectivity is controlled. The age group of a person in a field of view of the camera can be determined based on metrics of a 3-D body model. The metrics can relate to, e.g., a relative size of a head of the body, a ratio of arm length to body height, a ratio of body height to head height, and/or a ratio of head width to shoulder width. The metrics are particularly indicative of age group. Based on the age group, a profile of the user is automatically updated with various parental control settings which control access to the electronic media device. Also, currently output content can be replaced by substitute content when a person in a lower age group enters the field of view.

Abstract: A system and method are disclosed for recognizing and tracking a user's skeletal joints with a NUI system and further, for recognizing and tracking only some skeletal joints, such as for example a user's upper body. The system may include a limb identification engine which may use various methods to evaluate, identify and track positions of body parts of one or more users in a scene. In examples, further processing efficiency may be achieved by segmenting the field of view in smaller zones, and focusing on one zone at a time. Moreover, each zone may have its own set of predefined gestures which are recognized.

Abstract: A system and method are disclosed for recognizing and tracking a user's skeletal joints with a NUI system and further, for recognizing and tracking only some skeletal joints, such as for example a user's upper body. The system may include a limb identification engine which may use various methods to evaluate, identify and track positions of body parts of one or more users in a scene. In examples, further processing efficiency may be achieved by segmenting the field of view in smaller zones, and focusing on one zone at a time. Moreover, each zone may have its own set of predefined gestures which are recognized.

Abstract: A method for generating tailored content for a user based on analyzing images of a scene is provided. Images from a scene captured by a capture device of a target recognition and analysis system are received. The images are analyzed to detect one or more brand identifiers in the images. In an embodiment, the brand identifiers include symbols or words identifying a brand, product or service associated with the brand identifier. The detected brand identifiers are compared to one or more known brand identifiers and user preference information is assigned to the detected brand identifiers based on the comparison. Tailored content is generated for the user based on the user preference information. The tailored content is rendered on a display device to the user.

Abstract: In a motion capture system having a depth camera, access to an electronic media device such as personal computer or a game console with Internet connectivity is controlled. The age group of a person in a field of view of the camera can be determined based on metrics of a 3-D body model. The metrics can relate to, e.g., a relative size of a head of the body, a ratio of arm length to body height, a ratio of body height to head height, and/or a ratio of head width to shoulder width. The metrics are particularly indicative of age group. Based on the age group, a profile of the user is automatically updated with various parental control settings which control access to the electronic media device. Also, currently output content can be replaced by substitute content when a person in a lower age group enters the field of view.