NDLI: Feasibility of EMG-based ANN controller for a real-time virtual reality simulation

Content Provider	IEEE Xplore Digital Library
Author	Anbin Xiong Guangmo Lin Xingang Zhao Jianda Han Guangjun Liu
Copyright Year	2012
Description	Author affiliation: State Key Laboratory of Robotics, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), Liaoning, China (Anbin Xiong; Guangmo Lin; Xingang Zhao; Jianda Han; Guangjun Liu)
Abstract	Estimation of the joint angle from the surface electromyography (sEMG) is a quite complex task due to the complicated relationship between the kinematical variables and the raw sEMG. In this paper, we build a sEMG-to-motion model with the artificial neural network (ANN). EMG features, including Integral of absolute value (IAV), Zero crossing (ZC), Auto-regression coefficients (ARC), Median frequency (MDF), are extracted as the input of the ANN, and the output of the ANN is the operator's elbow joint angle and the wrist motion. In addition, a 3D upper extremity model, which is built in SolidWorks and then transformed into MATLAB, will imitate the operator's motion simultaneously with the estimations of the ANN. Thus, we accomplish a virtual reality system to realize the real-time simulation and validate the effectiveness of the sEMG-to-motion model. Experiment results show that the system achieves well in model accuracy, hardware compatibility and real time performance with a small mean square error of 1.921 degrees.
Starting Page	2699
Ending Page	2704
File Size	2671414
Page Count	6
File Format	PDF
ISBN	9781467324199
ISSN	1553572X
e-ISBN	9781467324212
e-ISBN	9781467324205
DOI	10.1109/IECON.2012.6389150
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Solid modeling Hardware Virtual reality Frequency domain analysis Real-time systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A virtual reality system for the simulation and manipulation of wireless communication networks

Analysis of immergence using biological signals and neural network in virtual reality environment

ANN based adaptive controller tuned by RTRL algorithm for non-linear systems

Estimation of hand force from surface Electromyography signals using Artificial Neural Network

An engine of virtual reality mixing environment based on real-time modeling and interaction

Artificial neural architecture for real time modelling applications

Comparing evaluation methods based on neural networks for a virtual reality simulator for medical training

A Hybrid Color Plane Approach Towards Color Based Object Detection and Modeling of a Real-Time Gesture Based Intelligent Virtual Aid Using Artificial Neural Network

Neural networks for system identification

Feasibility of EMG-based ANN controller for a real-time virtual reality simulation

Similar Documents

A virtual reality system for the simulation and manipulation of wireless communication networks

Analysis of immergence using biological signals and neural network in virtual reality environment

ANN based adaptive controller tuned by RTRL algorithm for non-linear systems

Estimation of hand force from surface Electromyography signals using Artificial Neural Network

An engine of virtual reality mixing environment based on real-time modeling and interaction

Artificial neural architecture for real time modelling applications

Comparing evaluation methods based on neural networks for a virtual reality simulator for medical training

A Hybrid Color Plane Approach Towards Color Based Object Detection and Modeling of a Real-Time Gesture Based Intelligent Virtual Aid Using Artificial Neural Network

Neural networks for system identification

Feasibility of EMG-based ANN controller for a real-time virtual reality simulation