A wearable action-assist device includes a biosignal detection unit detecting a biosignal from a wearer, an action-assist wearing tool having a drive source supplying a torque acting on the wearer around each joint of the wearer as an axis of rotation, a control unit controlling the drive source to generate the torque according to the detected biosignal, a drive torque estimation unit estimating a drive torque generated by the drive source, a joint-angle detecting unit detecting an angular displacement of the joint, and a parameter identification unit identifying kinetics parameters concerned by substituting the estimated drive torque and the detected angular displacement into an equation of motion of an entire system including kinetics parameters intrinsic to the wearer. The control unit is configured to control the drive source according to a predetermined control method based on the equation of motion into which the identified parameters are substituted.

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В данной статье представлен краткий обзор современных моделей экзоскелетов и тенденций в их развитии.

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To suppress human tremor, researchers in this field devote themselves to develop a wearable tremor-suppression orthosis, but one of the most important difficulties lies in how to obtain real-time filtering and estimation of the tremor from the input signal. In this article, Fourier Linear Combiner(FLC) and a series of derived algorithms are analyzed first, then an improved algorithm–Shifted Band-limited Multiple Fourier Linear Combiner(SBMFLC) is proposed. Simulation results make it clear that the improved algorithm is more adaptive and accurate to the tremor suppression.

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This paper describes IMU (Inertial Measurement Unit) platforms and their main target applications with a special focus on the 10-degree-of-freedom (10-DOF) inertial platform iNEMO and its technical features and performances. The iNEMO module is equipped with a 3-axis MEMS accelerometer, a 3-axis MEMS gyroscope, a 3-axis MEMS magne-tometer, a pressure sensor, and a temperature sensor. Furthermore, the Microcontroller Unit (MCU) collects measurements by the sensors and computes the orientation through a customized Extended Kalman Filter (EKF) for sensor fusion.

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The present invention relates to an exoskeleton interface apparatus that parallels human arm motion and is comprised of a serial assemblage of five powered linkages and joints based at a rigid support structure worn on the torso of the human subject. Such apparatus generates shoulder rotation using three orthogonal revolute joints mounted on serial linkages encompassing and intersecting at the anatomical glenohumeral joint. Elevation of the shoulder joint is articulated using a link member driven by a single revolute joint mounted in the torso structure. Passive adjustable linkages are used to match variation in anatomical forearm length, upper arm length, and scapula-to-glenohumeral radius. A plurality of integrated dc motor/harmonic drive transmission modules is co-located on adjoining linkages to power the joints. Force is exchanged with the human at the handgrip and elbow brace, and reacted to the torso structure via the base attachment. The present invention is applicable in particular to rehabilitation of the shoulder.

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