Abstract: A method of tracking the motion of a moving object having a plurality of linked segments is provided. The method uses a limited set of sensing units that are coupled to one or more of the segments to receive one or more sensor signals from the sensing units. Based on the sensor signals, the method estimates a 3D orientation and predicts a 3D position of the segments at a tracking module. The method further communicates the 3D orientation and the 3D position of the segments to a database module, and associates a pose of the object to the 3D orientation and the 3D position of the segments.

Abstract: A method of tracking the motion of a moving object having a plurality of linked segments is provided. The method uses a limited set of sensing units that are coupled to one or more of the segments to receive one or more sensor signals from the sensing units. Based on the sensor signals, the method estimates a 3D orientation and predicts a 3D position of the segments at a tracking module. The method further communicates the 3D orientation and the 3D position of the segments to a database module, and associates a pose of the object to the 3D orientation and the 3D position of the segments.

Abstract: A system is provided for capturing motion of a moving object via a plurality of motion sensor modules placed on various body segments. The sensor modules capture both 3D position and 3D orientation data relating to their respective body segments, thereby gathering motion data having six degrees of freedom with respect to a coordinate system not fixed to the body. Each body sensor collects 3D inertial sensor data and, optionally, magnetic field data. In embodiments, either DSP circuitry within the sensor modules or an external computing device, processes the sensor data to arrive at orientation and position estimates by using an estimation algorithm, such as a Kalman filter or a particle filter. The processing includes biomechanical model constraints that allow flexibility in the joints and provide characteristics for various joint types. To improve estimation accuracy, the system may be integrated with various types of aiding sensors.

Abstract: A system is provided for capturing motion of a moving object via a plurality of motion sensor modules placed on various body segments. The sensor modules capture both 3D position and 3D orientation data relating to their respective body segments, thereby gathering motion data having six degrees of freedom with respect to a coordinate system not fixed to the body. Each body sensor collects 3D inertial sensor data and, optionally, magnetic field data. In embodiments, either DSP circuitry within the sensor modules or an external computing device, processes the sensor data to arrive at orientation and position estimates by using an estimation algorithm, such as a Kalman filter or a particle filter. The processing includes biomechanical model constraints that allow flexibility in the joints and provide characteristics for various joint types. To improve estimation accuracy, the system may be integrated with various types of aiding sensors.

Abstract: A printer (2; 52) prints documents which, after arriving in a finishing system (1; 51), are detected and finished in an order corresponding with the order in which the documents have been printed by the printer (2; 52). The printer (2; 52) generates verification markings following one of the documents and prior to a next one of the documents. The number of documents that arrive in an interval limited by at least one of the verification markings are counted and compared with a reference number. An error message is generated if the counted number of arrived documents does not agree with the reference number. This makes it possible to monitor whether, after the documents have been printed, any faults have occurred. Further, a system for finishing documents is described.