An exoskeleton device is provided for measuring positions of links and angles of joints of an animate body, where the body comprises a plurality of links joined by intervening joints. The device is affixed at a first mobile terminus of said animate body and a second fixed terminus, having device links displaced from animate links, where the device links are connected by device joints and having sensor means for measuring the angle of the device joints. Using the signals from the sensor means, one can determine the position of the terminal device link and based on knowledge of the animate body structure, calculate the animate angle joints.

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A man-machine interface device is provided which employs rigid links interconnected by measured revolute joints to provide the position of a hand relative to a reference location, such as a desk, keyboard or chair. By proper selection of kinematic structure, and by placing one of the joints near the elbow and extending one of the links along the line of the forearm, translation of the joint-link structure is minimized, hence the undesirable perception of friction and inertia are also minimized. When Hall-Effect sensors are used as the revolute joint goniometers, the permanent magnets of neighboring joints are placed in the same link so the effects of magnetic field interference can be calibrated out. A hand-sensing joint-link device as described herein can produce data which is more noise free, at a higher sample rate, with less latency and more robust that competing electromagnetic, optical and ultrasonic sensing technologies, without adding much encumbrance. The output from the hand-sensing device may be used to produce a graphical «virtual hand» on a computer monitor which mimics the movement of the measured physical hand. The hand-sensing joint-link device may also be used with a finger-sensing joint-link device to provide data on the movements of the fingers and hand. When a right and left finger- and hand-sensing joint-link devices are used, the wearer can use both hands to manipulate virtual objects on a computer monitor.

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RTO is the single focus in NATO for Defence Research and Technology activities. Its mission is to conduct and promote cooperative research and information exchange. The objective is to support the development and effective use of national defence research and technology and to meet the military needs of the Alliance, to maintain a technological lead, and to provide advice to NATO and national decision makers. The RTO performs its mission with the support of an extensive network of national experts. It also ensures effective coordination with other NATO bodies involved in R&T activities. RTO reports both to the Military Committee of NATO and to the Conference of National Armament Directors. It comprises a Research and Technology Board (RTB) as the highest level of national representa-tion and the Research and Technology Agency (RTA), a dedicated staff with its headquarters in Neuilly, near Paris, France. In order to facilitate contacts with the military users and other NATO activities, a small part of the RTA staff is located in NATO Headquarters in Brussels. The Brussels staff also coordinates RTO’s cooperation with nations in Middle and Eastern Europe, to which RTO attaches particular importance especially as working together in the field of research is one of the more promising areas of initial cooperation.

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Muscle models are the essential components of any musculoskeletal simulation. In addition, muscle models which are incorporated in neural-based prosthetic and orthotic devices may significantly improve their performance. The aim of the study was to compare the performances of two types of muscle models in terms of predicting the moments developed at the human elbow joint complex based on joint kinematics and neuromuscular activity. The performance evaluation of the muscle models was required to implement them in a powered myosignaldriven exoskeleton (orthotic device). The experimental setup included a passive exoskeleton capable of measuring the joint kinematics and dynamics in addition to the muscle myosignal activity (EMG). Two types of models were developed and analyzed: a Hill-based model and a neural network. The task, which was selected for evaluating the muscle models performance, was the flexion–extension movement of the forearm with a hand-held weight. For this task the muscle model inputs were the normalized neural activation levels of the four main flexor–extensor muscles of the elbow joint, and the elbow joint angle and angular velocity. Using this inputs, the muscle model predicted the moment applied on the elbow joint during the movement. Results indicated a good performance of the Hill model, although the neural network predictions appeared to be superior. Relative advantages and shortcomings of both approaches were presented and discussed.

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An object of the present invention is to provide a walk assisting apparatus which enables persons having walking difficulties due to leg paralysis or other conditions to make the alternate walk improved for unassisted walking. The walk assisting apparatus according to the present invention comprises a left and a right full length leg brace swingably connected to left and right outer coxa links, an inner coxa link interconnecting the insides of the thighs of the left and the right leg supports, a swing center of the inner crotch link substantially coinciding with a swing center of the coxa links, so that the inner coxa link allows the leg supports to make the alternate walk properly.

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