Nobutaka Tsujiuchi

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In this research, a robot was operated by EMG signals using a linear multiple regression model. Myoelectric upper-limb prostheses are one example of an application that employs EMG signals as a control input. However, commercial myoelectric upper-limb prostheses can perform only grasping motions and wrist rotation. Many researches on multifunctionalization(More)
In walking analysis, which is one useful method for efficient physical rehabilitation, the ground reaction force, the center of pressure, and the body orientation data are measured during walking. In the past, these data were measured by a 3D motion analysis system consisting of high-speed cameras and force plates, which must be installed in the floor.(More)
This paper describes an output algorithm that measures forces and moment acting on a developed distributed-type tactile sensor and evaluates relative movement with the contacting object. To realize advanced manipulation, it is necessary to acquire forces and moments acting on the fingertips of the robot hand; it is also necessary to evaluate the relative(More)
This paper describes development of a distributed-type tactile sensor. This sensor arranges many sensor elements that can measure a triaxial force on the same plane. Therefore, the action force can be measured with the pressure distribution. Since the relative movement of a sensor and a contacted object can be evaluated by measuring the pressure(More)
Recently, research has concentrated on robots that can coexist with people and be of use to them. Such a robot needs to be both safe and flexible. Here, we use a pneumatic actuator as the driving source of a robot hand. We develop a pneumatic actuator driven by low pressure because we consider that the conventional pneumatic actuator is inadequate for the(More)
The purpose of this research is to construct an intelligent upper limb prosthesis control system that uses electromyogram (EMG) signals. The signal processing of EMG signals is performed using a linear multiple regression model that can learn parameters in a short time. Using this model, joint angles are predicted, and the motion pattern discrimination is(More)
Recently, various prosthetic arms have been developed, but few are both attractive and functional. Considering human coexistence, prosthetic arms must be both safe and flexible. In this research, we developed a novel prosthetic arm with a five-fingered prosthetic hand using our original pneumatic actuators and a slender tendon-driven wrist using a wire(More)
For directly aiding human life, we develop a small six-axis robot arm that is easy to incorporate in daily life. We adopt a task teaching method in which we move the robot arm directly by hand and thus can control it more easily. To reduce the quantity of data for the task teaching, we suggest the method of using interpolation and taking out each angle data(More)
In gait analysis, which is one useful method for efficient physical rehabilitation, the ground reaction force, the center of pressure, and the body orientation data are measured during walking. In the past, these data were measured by a 3D motion analysis system consisting of high-speed cameras and force plates, which must be installed in the floor.(More)
In human gait motion analysis, which is one useful method for efficient physical rehabilitation to define various quantitative evaluation indices, ground reaction force, joint angle and joint loads are measured during gait. To obtain these data as unrestrained gait measurement, a novel gait motion analysis system using mobile force plates and attitude(More)