scholarly journals Monitoring Methods of Multiple Robots using Communication for Human Interface System.

1996 ◽  
Vol 62 (602) ◽  
pp. 3759-3765
Author(s):  
Tsuyoshi SUZUKI ◽  
Kazutaka YOKOTA ◽  
Hajime ASAMA ◽  
Hayato KAETSU ◽  
Isao ENDO
2012 ◽  
Vol 24 (1) ◽  
pp. 235-243 ◽  
Author(s):  
Jianming Yang ◽  
◽  
Takashi Imura

In this paper, an intelligent interface system for a wheelchair robot with an arm is described. The human interface system is comprised of an interface device and a signal processing module. An original idea of the authors, the interface device, which is a combination of a joystick, a Position Sensitive Detector (PSD), and a CCD camera, can realize threedimensional measurement in addition to performing the basic functions of a joystick. A principle for measuring three-dimensional positions and a method of presenting information by means of a Graphical User Interface (GUI) to verify and understand the instructions are proposed. To demonstrate the effectiveness of the intelligent operating system, a basic experiment is done.


2015 ◽  
Vol 20 (4) ◽  
pp. 291-298 ◽  
Author(s):  
Keiko Sakurai ◽  
Mingmin Yan ◽  
Kazuhiko Inami ◽  
Hiroki Tamura ◽  
Koichi Tanno

2005 ◽  
Vol 2 (2) ◽  
pp. 97-102 ◽  
Author(s):  
C. DaSalla ◽  
J. Kim ◽  
Y. Koike

The aim of this paper is to design a human–interface system, using EMG signals elicited by various wrist movements, to control a robot. EMG signals are normalized and based on joint torque. A three-layer neural network is used to estimate posture of the wrist and forearm from EMG signals. After training the neural network and obtaining appropriate weights, the subject was able to control the robot in real time using wrist and forearm movements.


2004 ◽  
Author(s):  
Roger A. Chadwick ◽  
Douglas J. Gillan ◽  
Dominic Simon ◽  
Skye Pazuchanics

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