Nobutaka Tsujiuchi

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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)
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract We developed a pneumatic robot arm driven by pneumatic actuators as a versatile end effector for material handling systems. The arm consists of a pneumatic hand and pneumatic wrist. The hand can grasp various objects without(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)
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)
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 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 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)
Trans-femoral amputees must regain moving pattern by refined rehabilitation program using loads applied on a prosthetic limb. On the other hand, understanding those loads is indispensable for biomechanical consideration of trans-femoral amputees. However, conventional prosthetic gait training systems cannot measure long continuous walking motions. In this(More)
The objective of this study is to develop a method of discriminating real-time motion from electromyogram (EMG) signals. We previously proposed a motion discrimination method. This method could discriminate five motions (hand opening, hand closing, hand chucking, wrist extension, and wrist flexion) at a rate of above 90 percent from four channel EMG signals(More)
The objective of this research is to develop a hand motion discrimination method that uses electromyogram (EMG) signals for controlling myoelectric prosthetic hands without the incorrect discriminations that elbow motions cause. We proposed a method that can discriminate hand motions using linear multiple regression models in the past. However, this method(More)