scholarly journals Gesture Control Robotic Arm

2020 ◽  
Vol 9 (2) ◽  
pp. 51
Author(s):  
D Sreeharsha
Keyword(s):  
Real World ◽  
Robotic Arm ◽  
Hand Gesture ◽  
Human Hand ◽  
Motion Sensor ◽  
Leap Motion ◽  
Vital Part ◽  
Gesture Control ◽  
End Effectors ◽  
Set Of Points

Robot plays a vital part in making our lives more facile. The scope of this project is to provide a relation between human and machine by the interaction of human hand and robotic arm. The arm consists of five Degree of Freedom (DOF) and an end effectors, which allows the interaction with the real world. Now the obligations for the controller arise and along the way settled with the exploration of leap motion sensor. As earlier, robotic arm was controlled by the keypad or joystick which required a lot of practices and calculations to manipulate the robotic arm to reach desired position. The exploitation of the leap motion results in explicitly acquiring for hand gesture and provides set of points.

Development of Robotic Arm Through Hand Gesture Recognition Using Leap Motion Sensor

2020 ◽  
Vol 17 (4) ◽  
pp. 1889-1893
Author(s):  
T. Archana ◽  
Srigitha S. Nath ◽  
S. Praveenkumar
Keyword(s):  
Gesture Recognition ◽  
Control Strategy ◽  
Low Cost ◽  
Hand Gesture Recognition ◽  
Robotic Arm ◽  
Hand Gesture ◽  
Motion Sensor ◽  
Leap Motion ◽  
Control Techniques ◽  
Natural Movement

The objective of this paper has been the development of a prototype of articulated Robotic arm and implementation of a control strategy for gesture recognition through (Leap motion sensor), by means the natural movement of the fore-arm and hand. The series of advances relative to the control techniques have caused that the robotics it has also introduced as an educational and complement in obligatory basic teachings. To develop and to control Robotic elements locally or remotely, it has always proven to be a clear example of additional motivation. The prototype developed has exceeded the initial expectations and at low cost.

scholarly journals Implementation of Gesture Control Robotic Arm for Automation of Industrial Application

2020 ◽  
pp. 147-156
Author(s):  
Shriya A. Hande ◽  
Nitin R. Chopde
Keyword(s):  
System Design ◽  
The Other ◽  
Robotic Arm ◽  
Human Hand ◽  
Design And Implementation ◽  
Gesture Control ◽  
Rf Signals ◽  
Pick And Place ◽  
Almost All ◽  
Minimal Effort

<p>In today’s world, in almost all sectors, most of the work is done by robots or robotic arm having different number of degree of freedoms (DOF’s) as per the requirement. This project deals with the Design and Implementation of a “Wireless Gesture Controlled Robotic Arm with Vision”. The system design is divided into 3 parts namely: Accelerometer Part, Robotic Arm and Platform. It is fundamentally an Accelerometer based framework which controls a Robotic Arm remotely utilizing a, little and minimal effort, 3-pivot (DOF's) accelerometer by means of RF signals. The Robotic Arm is mounted over a versatile stage which is likewise controlled remotely by another accelerometer. One accelerometer is mounted/joined on the human hand, catching its conduct (motions and stances) and hence the mechanical arm moves in like manner and the other accelerometer is mounted on any of the leg of the client/administrator, catching its motions and stances and in this way the stage moves as needs be. In a nutshell, the robotic arm and platform is synchronised with the gestures and postures of the hand and leg of the user / operator, respectively. The different motions performed by robotic arm are: PICK and PLACE / DROP, RAISING and LOWERING the objects. Also, the motions performed by the platform are: FORWARD, BACKWARD, RIGHT and LEFT.</p>

scholarly journals Hand Gesture based Concept of Human - Mobile Robot Interaction with Leap Motion Sensor

2019 ◽  
Vol 52 (25) ◽  
pp. 321-326 ◽  
Author(s):  
S. Ahmed ◽  
V. Popov ◽  
A. Topalov ◽  
N. Shakev
Keyword(s):  
Mobile Robot ◽  
Hand Gesture ◽  
Motion Sensor ◽  
Leap Motion ◽  
Robot Interaction

scholarly journals A Novel Setup and Protocol to Measure the Range of Motion of the Wrist and the Hand

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3230 ◽  
Author(s):  
Kostas Nizamis ◽  
Noortje Rijken ◽  
Ana Mendes ◽  
Mariska Janssen ◽  
Arjen Bergsma ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Daily Living ◽  
High Reliability ◽  
Human Hand ◽  
Motion Sensor ◽  
Leap Motion ◽  
Large Decrease ◽  
Hand Rehabilitation ◽  
Rehabilitation Protocols

The human hand is important for the performance of activities of daily living which are directly related to quality of life. Various conditions, such as Duchenne muscular dystrophy (DMD) can affect the function of the human hand and wrist. The ability to assess the impairment in the hand and the wrist by measuring the range of motion (ROM), is essential for the development of effective rehabilitation protocols. Currently the clinical standard is the goniometer. In this study we explore the feasibility and reliability of an optical sensor (Leap motion sensor) in measuring active hand/wrist ROM. We measured the hand/wrist ROM of 20 healthy adults with the goniometer and the Leap motion sensor, in order to check the agreement between the two methods and additionally, we performed a test-retest of the Leap motion sensor with 12 of them, to assess its reliability. The results suggest low agreement between the goniometer and the leap motion sensor, yet showing a large decrease in measurement time and high reliability when using the later. Despite the low agreement between the two methods, we believe that the Leap motion sensor shows potential to contribute to the development of hand rehabilitation protocols and be used with patients in a clinical setting.

LEAP MOTION UNDERWATER ROBOTIC ARM CONTROL

2015 ◽  
Vol 74 (9) ◽  
Author(s):  
Lee Jun Wei ◽  
Loi Wei Sen ◽  
Zamani Md. Sani
Keyword(s):  
Control Algorithm ◽  
Inverse Kinematic ◽  
Robotic Arm ◽  
Leap Motion ◽  
Robotic Arms ◽  
Gesture Control ◽  
Pick And Place ◽  
Robotic Arm Control ◽  
Reliability Performance ◽  
And Control

The robotic arm structure and control algorithm are designed for a purpose, to pick and place an object task at underwater which is attached to a ROV (Remotely Operated Underwater Vehicle). It is controlled by an innovated gesture control system, Leap Motion controller. The arm structure of pick and place is controlled by Arduino as microcontroller to control the angles and displacements of the servomotor precisely. The detection of position and orientation of the fingers and hands processed by develop control algorithm in Javascript language and sent to the Arduino. Meanwhile, a detailed 3D drawing is drawn precisely by using SolidWorks for the fabrication. After the platform is completed, kinematic and inverse kinematic equations and calculations are programed into JavaScript language for the control algorithm. Lastly, the hardware and software combined all together. With developed control algorithm, the robotic arm mimics human’s fingers and arm movements which more user friendly interface especially underwater scavenging and salvaging. Since it designed for underwater, the accuracy and precision are crucial for robotic arms, it undergo several experiments and tests for investigate reliability performance of developed robotic arm.   

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