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The main focus of our research is to control the load of selected muscles by using a power-assisting device, thus enabling pinpointed motion support, rehabilitation and training by explicitly specifying the target muscles. In our past research, a control method was proposed for static human motion. And the result of simulation and experiments showed that it is possible to control the force of selected...
Focusing on physical human-robot interaction, biosignal feedback allows a rehabilitation and assistive robotic system possess many advantages, such as providing human intention estimations, suitable treatment evaluations, capacity of generating power assistive strategies in advance, etc. In general, electromyogram (EMG), angle, and force signals can be used to estimate the intention of the human by...
This paper deals with the design of a new prototype, developed for the quantitative analysis of neuromotor diseases. The system, called Daphne, may measure the reaction of a person evaluating the time response in the motion of one finger of the hand, the velocity of phalanxes, the force exerted from the finger against a button. Daphne performs the more modern aspect connected with concurrent and simultaneous...
In order to make haptic feedback in teleoperation rehabilitation robot system or to assist the object's movement, recognition the intended movement of an object is required. In this paper, we establish the relation between the electromyography (EMG) signal of some specified hu.man arm's muscles and the moment of corresponding arm's joints. The model and the parameter calibration process are simple...
The demand for rehabilitation robots is increasing for the upcoming aging society. Power-assisting devices are considered promising for enhancing the mobility of elderly and disabled people. Other potential applications are for muscle rehabilitation and sports training. The main focus of this paper is to control the load of selected muscles by using a power-assisting device, thus enabling ldquopinpointedrdquo...
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