Compensation of hand movement for patients by assistant force: relationship between human hand movement and robot arm motion

2001 ◽  
Vol 9 (3) ◽  
pp. 302-307 ◽  
Author(s):  
Ou Bai ◽  
M. Nakamura ◽  
H. Shibasaki
Keyword(s):  
Hand Movement ◽  
Human Hand ◽  
Robot Arm ◽  
Arm Motion ◽  
Force Relationship

scholarly journals Hand Gesture Controlled Robot Arm

2020 ◽  
Vol 9 (6) ◽  
pp. 405-409
Keyword(s):  
Industrial Robot ◽  
Hand Movement ◽  
Human Hand ◽  
Robot Arm ◽  
Widespread Application ◽  
Robotic Arms ◽  
Sensor Resistance ◽  
Complex Process ◽  
Proposed Model ◽  
Driver Circuit

Robotic Arms are generally a programmable type of mechanical arm with functions similar to human arm which is either the sum of total mechanism or may be a complex robot part. These robotic arms are employed in assembly line of industries performing complex process like drilling, painting and painting etc. It is possible to fabricate gesture controlled Industrial robot arms. The robot is easily accessible and requires lesser controlling effects. In this work a glove attached to human hand is incorporated with flex sensors and transceiver. The flex sensor resistance can be varied by hand movement which is transferred to the axis of robot. The resistance of glove can make robot rotate either angular or in a linear motion about its axis. A transceiver circuit is employed for signal control which is capable of transmitting and receiving signal between human hand and robotic arm.The flex sensor senses and gives corresponding signals. The analog signal from the flex sensor given to Arduino, it will work according to the Arduino program. The signal is transmitted from Arduino to Zigbee for wireless communication. The driver circuit put together with transistor to control the relay. The relay output is connected directly to motor joined with the robot. With this arrangement arm can be used for pick and place application. The robotic arm delivers the programmed movement and the proposed model have widespread application for people working in hazardous areas.

ROBOTIC HANDWRITING

2005 ◽  
Vol 02 (01) ◽  
pp. 105-124 ◽  
Author(s):  
VELJKO POTKONJAK
Keyword(s):  
Mathematical Models ◽  
Muscle Fatigue ◽  
Simulation Study ◽  
Robot Control ◽  
Robot Arm ◽  
Redundancy Resolution ◽  
Kinematic Redundancy ◽  
New Concepts ◽  
Human Arm ◽  
Arm Motion

Handwriting has always been considered an important human task, and accordingly it has attracted the attention of researchers working in biomechanics, physiology, and related fields. There exist a number of studies on this area. This paper considers the human–machine analogy and relates robots with handwriting. The work is two-fold: it improves the knowledge in biomechanics of handwriting, and introduces some new concepts in robot control. The idea is to find the biomechanical principles humans apply when resolving kinematic redundancy, express the principles by means of appropriate mathematical models, and then implement them in robots. This is a step forward in the generation of human-like motion of robots. Two approaches to redundancy resolution are described: (i) "Distributed Positioning" (DP) which is based on a model to represent arm motion in the absence of fatigue, and (ii) the "Robot Fatigue" approach, where robot movements similar to the movements of a human arm under muscle fatigue are generated. Both approaches are applied to a redundant anthropomorphic robot arm performing handwriting. The simulation study includes the issues of legibility and inclination of handwriting. The results demonstrate the suitability and effectiveness of both approaches.

Robot Trajectory Planning Using Rational Frenet-Serret Curves

Volume 2 ◽  
2004 ◽  
Author(s):  
Reza Ravani ◽  
Ali Meghdari
Keyword(s):  
Trajectory Planning ◽  
Computer Animation ◽  
Rational Curves ◽  
Robot Arm ◽  
Robot Trajectory ◽  
Arm Motion ◽  
Sweep Surface ◽  
And Robotics ◽  
Rotation Minimizing Frame ◽  
Robot Trajectory Planning

The aim of this paper is to demonstrate that the techniques of Computer Aided Geometric Design such as spatial rational curves and surfaces could be applied to Kinematics, Computer Animation and Robotics. For this purpose we represent a method which utilizes a special class of rational curves called Rational Frenet-Serret (RF) [8] curves for robot trajectory planning. RF curves distinguished by the property that the motion of their Frenet-Serret frame is rational. We describe an algorithm for interpolation of positions by a rational Frenet-Serret motion. Further more we provide an analysis on spatial frames (Frenet-Serret frame and Rotation Minimizing frame) for smooth robot arm motion and investigate their applications in sweep surface modeling.

scholarly journals Design and multichannel electromyography system-based neural network control of a low-cost myoelectric prosthesis hand

2021 ◽  
Vol 12 (1) ◽  
pp. 69-83
Author(s):  
Saygin Siddiq Ahmed ◽  
Ahmed R. J. Almusawi ◽  
Bülent Yilmaz ◽  
Nuran Dogru
Keyword(s):  
Neural Network ◽  
Control Method ◽  
Low Cost ◽  
Hand Movement ◽  
Cost Effective ◽  
Network Control ◽  
Human Hand ◽  
Prosthetic Hand ◽  
Myoelectric Prosthesis ◽  
System File

Abstract. This study introduces a new control method for electromyography (EMG) in a prosthetic hand application with a practical design of the whole system. The hand is controlled by a motor (which regulates a significant part of the hand movement) and a microcontroller board, which is responsible for receiving and analyzing signals acquired by a Myoware muscle device. The Myoware device accepts muscle signals and sends them to the controller. The controller interprets the received signals based on the designed artificial neural network. In this design, the muscle signals are read and saved in a MATLAB system file. After neural network program processing by MATLAB, they are then applied online to the prosthetic hand. The obtained signal, i.e., electromyogram, is programmed to control the motion of the prosthetic hand with similar behavior to a real human hand. The designed system is tested on seven individuals at Gaziantep University. Due to the sufficient signal of the Mayo armband compared to Myoware sensors, Mayo armband muscle is applied in the proposed system. The discussed results have been shown to be satisfactory in the final proposed system. This system was a feasible, useful, and cost-effective solution for the handless or amputated individuals. They have used the system in their day-to-day activities that allowed them to move freely, easily, and comfortably.

scholarly journals Gesture Controlled Robot using Arduino

2021 ◽  
Vol 9 (VI) ◽  
pp. 2758-2765
Author(s):  
Biyyala Srijith
Keyword(s):  
Remote Control ◽  
Steering Wheel ◽  
Human Hand ◽  
Robot Arm ◽  
Radio Waves ◽  
Robotic Control ◽  
Accelerometer Sensor ◽  
Left And Right ◽  
Human Touch ◽  
The Right

A Gesture Controlled Car is a robot that can be controlled with a simple human touch. The user only needs to wear a touch device where the sensor is installed. The sensor will record the movement of the hand in a certain direction that will lead to the movement of the robot in the right places. The robot and the touch device are connected wirelessly with radio waves. The user can communicate with the robot in a very friendly way due to wireless communication. We can control the car using accelerometer sensors that are connected to our hand glove. Sensors are designed to replace the remote control commonly used to drive a car. It will allow the user to control the forward, backward, left and right, while using the same accelerometer sensor to control the car's steering wheel. The movement of the car is controlled by the separation method. The machine involves rotating both front and rear wheels on the left or right side to move the non-clockwise side and another pair around the clock causing the car to rotate with its axis without going forward or backward. The main advantage of this machine is that the car with this method can take sharp turns without difficulty. The design and use of a robotic control arm using a flex sensor is suggested. The robot arm is designed to consist of four moving fingers, each with three connectors, an opposing thumb, a round wrist, and an elbow. The robot arm is designed to mimic the movements of a human hand using a hand glove.

A Model of Human Reaction Time to Dangerous Robot Arm Movements

1987 ◽  
Vol 31 (2) ◽  
pp. 191-195 ◽  
Author(s):  
Martin G. Helander ◽  
Mark H. Karwan ◽  
John Etherton
Keyword(s):  
Decision Making ◽  
Reaction Time ◽  
Motor Response ◽  
Arm Movements ◽  
Robot Arm ◽  
Total Reaction ◽  
Human Reaction ◽  
Arm Motion ◽  
Human Reaction Time ◽  
Total Reaction Time

An increasing number of studies indicate that robots are the most hazardous equipment in industry. The very virtue that makes them attractive for industrial work, the programmable arm, is the cause of accidents since the arm motion is often difficult to perceive. The present paper presents a model of human reaction time and emergency behavior. The total reaction time is the sum of three elements: perception, decision making and motor response. Each of these three elements are modeled using concepts such as perceptual discriminability and single detection theory. Finally the results of an experiment is presented where the human reaction time is modeled as a function of robot arm speed.

A Robot Arm Motion Generation Based on Learning of Objects Shape and Human Motion

2018 ◽  
Vol 2018 (0) ◽  
pp. 2A1-F14
Author(s):  
Sho TAJIMA ◽  
Tokuo TSUJI ◽  
Yosuke SUZUKI ◽  
Tetsuyou WATANABE ◽  
Kenichi MOROOKA ◽  
...  
Keyword(s):  
Human Motion ◽  
Robot Arm ◽  
Motion Generation ◽  
Arm Motion
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