Abstract: A system comprises a portable user device configured to store user profile information associated with a user, and an entertainment system comprising a video game processing device and one or more input devices, the portable user device being configured to communicate at least some of the user profile information to a second device via near-field communication, wherein the second device is one or more selected from the video game processing device and one or more of the input devices, wherein the video game processing device is configured to perform one or more processing operations in dependence on at least some of the user profile information received from the portable user device.

Abstract: An entertainment device comprising processing circuitry to identify a game to be processed and process a game state of the game, and communication circuitry to receive activity data recorded by at least one mobile device, the activity data relating to one or more activities performed by a user. The processing circuitry is configured to control, in dependence on the received activity data, at least one aspect of the game state.

Abstract: Systems, apparatuses, devices and methods for body pose tracking are provided that are simple, inexpensive, flexible, accurate and robust. One body pose tracking system includes a mobile device, such as a smartphone, and active or passive marker bands. Images and depth information captured by the smartphone may be analyzed using an Inverse Kinematic (IK) model, and, in certain cases, the IK model solution may be augmented by machine learning. Other body pose tracking systems include an augmented-reality/virtual-reality (AR/VR) head-mounted-display (HMD) and/or AR/VR glasses rather than a smartphone. An AR/VR HMD device may include a depth sensor and multiple environment-facing cameras.

Abstract: Systems, apparatuses, devices and methods for body pose tracking are provided that are simple, inexpensive, flexible, accurate and robust. One body pose tracking system includes a mobile device, such as a smartphone, and active or passive marker bands. Images and depth information captured by the smartphone may be analyzed using an Inverse Kinematic (IK) model, and, in certain cases, the IK model solution may be augmented by machine learning. Other body pose tracking systems include an augmented-reality/virtual-reality (AR/VR) head-mounted-display (HMD) and/or AR/VR glasses rather than a smartphone. An AR/VR HMD device may include a depth sensor and multiple environment-facing cameras.