A study of human hand position control learning-output feedback inverse model

1991 ◽  
Author(s):  
E. Oyama ◽  
T. Maeda ◽  
S. Tachi
Keyword(s):  
Output Feedback ◽  
Position Control ◽  
Inverse Model ◽  
Human Hand ◽  
Hand Position ◽  
Control Learning

scholarly journals Output Feedback Look-ahead Position Control of Electrically Driven Fast Surface Vessels

Automatika ◽  
2016 ◽  
Vol 57 (4) ◽  
pp. 968-981 ◽  
Author(s):  
Padideh Rasouli ◽  
Khoshnam Shojaei ◽  
Abbas Chatraei
Keyword(s):  
Output Feedback ◽  
Position Control ◽  
Look Ahead ◽  
Surface Vessels

On the use of forward kinematic models in visually guided hand position control—analysis based on ISLES model

2002 ◽  
Vol 44-46 ◽  
pp. 965-972 ◽  
Author(s):  
Eimei Oyama ◽  
Taro Maeda ◽  
Susumu Tachi ◽  
Karl F. MacDorman ◽  
Arvin Agah
Keyword(s):  
Position Control ◽  
Hand Position ◽  
Control Analysis ◽  
Visually Guided ◽  
Kinematic Models ◽  
Forward Kinematic

Smart Prosthetic Hand with Object Slippage Detection, Measurement, and Control

2014 ◽  
Vol 5 (3) ◽  
pp. 25-48
Author(s):  
Girish Sriram ◽  
Alex Jensen ◽  
Steve C. Chiu
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Degrees Of Freedom ◽  
Sensory Feedback ◽  
Position Control ◽  
Tactile Feedback ◽  
Human Hand ◽  
Computing Platform ◽  
Emg Signal ◽  
A New Technique

The human hand along with its fingers possess one of the highest numbers of nerve endings in the human body. It thus has the capacity for the richest tactile feedback for positioning capabilities. This article shares a new technique of controlling slippage. The sensing system used for the detection of slippage is a modified force sensing resistor (FSR®). The control system is a fuzzy logic control algorithm with multiple rules that is designed to be processed on a mobile handheld computing platform and integrated/working alongside a traditional Electromyography (EMG) or Electroencephalography (EEG) based control system used for determining position of the fingers. A 5 Degrees of Freedom (DOF) hand, was used to test the slippage control strategy in real time. First a reference EMG signal was used for getting the 5 DOF hand to grasp an object, using position control. Then a slip was introduced to see the slippage control strategy at work. The results based on the plain tactile sensory feedback and the modified sensory feedback are discussed.

Computer Vision-Based Augmented Reality System for Assembly Interaction

2010 ◽  
Vol 37-38 ◽  
pp. 263-269 ◽  
Author(s):  
Han Wu He ◽  
Yue Ming Wu ◽  
De Tao Zheng ◽  
Yong Rao
Keyword(s):  
Computer Vision ◽  
Augmented Reality ◽  
Research Effort ◽  
Hand Tracking ◽  
Intensity Difference ◽  
Human Hand ◽  
Hand Position ◽  
Prototype System ◽  
Augmented Reality System ◽  
Traditional Approaches

A research effort aimed at creating a computer vision-based augmented reality assembly system is presented. The architecture of this system for assembly interaction is described. To realize intuitive human-computer interaction, a computer vision-based hand tracking and gesture recognition approach is applied. This approach uses the color-based method to segment the hand from background, and locate the hand position by the marker attached on hand, and then recognizes the gesture according to the geometry constraint of human hand. In comparison with the traditional approaches, this new method does not require a stationary camera, and is not sensitive with intensity difference. So, it provides a real time performance and is easy to realize. Moreover, occlusion identification is studied in this paper to raise the real and virtual objects combination effect. Finally, a prototype system is provided to demonstrate the effectiveness and robustness of the presented approaches.

scholarly journals Metal Cutting Tool Position Control Using Static Output Feedback and Full State Feedback H2 Controllers

2020 ◽  
Author(s):  
Mustefa Jibril ◽  
Messay Tadese ◽  
Roman Jirma
Keyword(s):  
Output Feedback ◽  
State Feedback ◽  
Metal Cutting ◽  
Position Control ◽  
Static Output Feedback ◽  
Metal Cutting Machine ◽  
Cutting Machine ◽  
Full State ◽  
Full State Feedback ◽  
Static Output

In this paper, a metal cutting machine position control have been designed and simulated using Matlab/Simulink Toolbox successfully. The open loop response of the system analysis shows that the system needs performance improvement. Static output feedback and full state feedback H2 controllers have been used to increase the performance of the system. Comparison of the metal cutting machine position using static output feedback and full state feedback H2 controllers have been done to track a set point position using step and sine wave input signals and a promising results have been analyzed.

Sign in / Sign up

Export Citation Format

Share Document