Abstract: Techniques for capturing motion of a user are described. A plurality of sensor modules corresponding to a set of designated body parts (e.g., arms or legs) of the user generate sensing signals when the user performs a pose. Sensing data including accelerometers and/or gyroscopes data produced from the sensing signals is analyzed to derive various moves made by the user, where an human avatar animation is provided and displayed based on motion attributes derived from the sensing data.

Abstract: Techniques for establishing a biomechanical model of a user performing motion are described. A plurality of sensor modules corresponding to a set of designated body parts (e.g., arms or legs) of the user generate sensing signals when the user performs a pose. Sensing data including accelerometers and/or gyroscopes data generated from the sensing signals is analyzed to detect a medio-lateral direction of each of the designated body parts to infer the pose from the captured motion of the user.

Abstract: Techniques for motion controls based on artificial intelligence are described. According to one aspect of the present invention, instructions are provided based on motions performed by a user in reference to motions performed by an instructor. Various parameters about the motions by the user are analyzed, derived and compared with stored parameters. An animation based on the user or an avatar representing the user is rendered per the motion parameters of the user. Various techniques or algorithms are designed to provide different perspective views of the motions by the user and the instructor and compare the motions or poses by the user and the instructor.

Abstract: Techniques for sport-specific training with captured body motions are described. A computing device is provided to receive sensing data wirelessly from a plurality of sensor modules respectively attached to different body parts of a user in accordance with a particular sport. The motion of the user per the received sensing data is derived. A corresponding 3D graphic environment pertaining to the sport is provided on a display to show reference motion performed by a reference chosen by the user with the derived motion performed by the user. Differences between the reference motion and the derived motion are highlighted or animated in the 3D graphic environment.

Abstract: An article of clothing facilitating capture of motions is described. The clothing has an inner side. A plurality of sensor modules are respectively attached to designated locations on the inner side, where the sensor modules and batteries if not enclosed in the sensor modules are coupled by a plurality of conductive threads embedded in materials of the clothing. These sensor modules are responsible for capturing respective motions corresponding designated body parts when the clothing is worn by a wearer.

Abstract: Techniques for providing real-time feedback in performing certain sporting activities are described. According to one aspect of the present invention, instructions are provided based on motions performed by a user in reference to motions performed by a chosen instructor. Various attributes about the motions by the user are analyzed, derived and compared with stored parameters per the motions performed by a chosen instructor. An animation based on the user or an avatar representing the user is rendered per the motion attributes of the user. Various techniques or algorithms are designed to provide different perspective views of the motions by the user and the instructor and compare the motions or poses by the user and the instructor.

Abstract: Techniques for forming a specialized low-latency local area network with sensor modules are described. These sensor modules are respectively attached certain parts of a human body. Sensing signals or data from sensing modules are combined in a designated module, referred to as hub module, responsible for communicating with an external device. The hub module establishes a communication session with each of the remaining sensor (satellite) modules, where the session may be established over at least one channel. The hub switches proactively to another channel when there is any downgraded performance in the channel.

Abstract: Techniques for storing attributes of motion and sharing the motion are described. The motion of a first user is captured and analyzed, where the attributes of motion are stored on a server or cloud. The attributes of motion are represented in a 3D anatomical coordinate system to ensure a reliable representation of an anatomy behind the motion. When accessed by a second user, an avatar is animated per the stored attributes of motion while capturing similar motion made by the second user. A stream of showing the differences in the motion by the second user and the avatar is provided to a device associated with the second user.

Abstract: Techniques for capturing and analyzing motion made by a person performing activities are described. According to one aspect of the present invention, sensing devices are attached to different parts of a body. As a person makes moves, the sensor modules, each including at least one inertial sensor, produce sensing data that are locally received in one designated sensing device that is in communication with an external device either remotely or locally. The combined sensing data received from the these sensing devices are processed and analyzed to derive the motions made the person. Depending on applications, various attributes of the motion can be derived from the combined sensing data, where the attributes can be incorporated into an application running on a mobile device for 3D graphics rendering into a human avatar animation.

Abstract: Techniques for capturing and analyzing motion made by a person performing activities are described. According to one aspect of the present invention, sensing devices are attached to different parts of a body. As a person makes moves, the sensor modules, each including at least one inertial sensor, produce sensing data that are locally received in one designated sensing device that is in communication with an external device either remotely or locally. Relying on the resources on the external device, the combined sensing data received from the these sensing devices are processed and analyzed to derive the motions made the person. Depending on applications, various attributes of the motion can be derived from the combined sensing data, where the attributes can be incorporated into an application running on a mobile device for 3D graphics rendering into a human avatar animation and motion chart analysis.