A matrix method for human hand gesture description

2013 ◽  
Author(s):  
Xiancan Liu ◽  
Qiang Zhan
Keyword(s):  
Matrix Method ◽  
Hand Gesture ◽  
Human Hand

Smart Elevator Cotrol System Based on Human Hand Gesture Recognition

2020 ◽  
Author(s):  
Shangzhi Le ◽  
Qujiang Lei ◽  
Xiangying Wei ◽  
Jiahao Zhong ◽  
Yuhe Wang ◽  
...  
Keyword(s):  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Human Hand

scholarly journals FPGA based Real Time Human Hand Gesture Recognition System

2012 ◽  
Vol 6 ◽  
pp. 98-107 ◽  
Author(s):  
Amit Gupta ◽  
Vijay Kumar Sehrawat ◽  
Mamta Khosla
Keyword(s):  
Real Time ◽  
Gesture Recognition ◽  
Recognition System ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Human Hand

scholarly journals Human hand gesture based system for mouse cursor control

2018 ◽  
Vol 22 ◽  
pp. 1038-1042 ◽  
Author(s):  
Horatiu-Stefan Grif ◽  
Trian Turc
Keyword(s):  
Hand Gesture ◽  
Human Hand ◽  
Cursor Control ◽  
Mouse Cursor

scholarly journals Modeling and Analysis of a Visual Feedback System to Support Efficient Object Grasping of an EMG-Controlled Prosthetic Hand

2019 ◽  
Vol 5 (1) ◽  
pp. 207-210
Author(s):  
Tolgay Kara ◽  
Ahmad Soliman Masri
Keyword(s):  
Visual Feedback ◽  
Low Cost ◽  
Feedback System ◽  
Hand Gesture ◽  
Human Hand ◽  
Prosthetic Hand ◽  
Modeling And Analysis ◽  
Prosthetic Hands ◽  
Prosthetic Limbs ◽  
Computer Environment

AbstractMillions of people around the world have lost their upper limbs mainly due to accidents and wars. Recently in the Middle East, the demand for prosthetic limbs has increased dramatically due to ongoing wars in the region. Commercially available prosthetic limbs are expensive while the most economical method available for controlling prosthetic limbs is the Electromyography (EMG). Researchers on EMG-controlled prosthetic limbs are facing several challenges, which include efficiency problems in terms of functionality especially in prosthetic hands. A major issue that needs to be solved is the fact that currently available low-cost EMG-controlled prosthetic hands cannot enable the user to grasp various types of objects in various shapes, and cannot provide the efficient use of the object by deciding the necessary hand gesture. In this paper, a computer vision-based mechanism is proposed with the purpose of detecting and recognizing objects and applying optimal hand gesture through visual feedback. The objects are classified into groups and the optimal hand gesture to grasp and use the targeted object that is most efficient for the user is implemented. A simulation model of the human hand kinematics is developed for simulation tests to reveal the efficacy of the proposed method. 80 different types of objects are detected, recognized, and classified for simulation tests, which can be realized by using two electrodes supplying the input to perform the action. Simulation results reveal the performance of proposed EMG-controlled prosthetic hand in maintaining optimal hand gestures in computer environment. Results are promising to help disabled people handle and use objects more efficiently without higher costs.

Real Time Robotic Arm Control Using Human Hand Gesture Measurement

2020 ◽  
Vol 12 (SP4) ◽  
pp. 984-996
Author(s):  
Satheeshkumar R.
Keyword(s):  
Real Time ◽  
Robotic Arm ◽  
Hand Gesture ◽  
Human Hand ◽  
Robotic Arm Control

Human hand gesture detection based on EMG signal using ANN

2014 ◽  
Author(s):  
Md. Mehedi Hasan ◽  
Arifur Rahaman ◽  
Md. Faisal Shuvo ◽  
Md. Abu Saleh Ovi ◽  
Md. Mostafizur Rahman
Keyword(s):  
Hand Gesture ◽  
Human Hand ◽  
Emg Signal ◽  
Hand Gesture Detection

Hidden Markov model for human to computer interaction: a study on human hand gesture recognition

2011 ◽  
Vol 40 (4) ◽  
pp. 495-516 ◽  
Author(s):  
Sara Bilal ◽  
Rini Akmeliawati ◽  
Amir A. Shafie ◽  
Momoh Jimoh E. Salami
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Gesture Recognition ◽  
Hidden Markov ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Human Hand ◽  
Computer Interaction
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