NDLI: Real-time virtual instruments based on neural network system

Content Provider	IEEE Xplore Digital Library
Author	Hon-Hang Chang Chun-Hong Huang Ting-Kuo Lin Shih, T.K. Shulei Wu
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Inf. & Network Eng., Lunghwa Univ. of Sci. & Technol., Taoyuan, Taiwan (Chun-Hong Huang) \|\| Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli, Taiwan (Hon-Hang Chang; Ting-Kuo Lin; Shih, T.K.) \|\| Coll. of Inf. Sci. & Technol., Hainan Normal Univ., Haikou, China (Shulei Wu)
Abstract	Research in the field of Human-Computer Interaction (HCI) has become more and more frequently in our life. These related applications not only make our lives more convenient and efficiency, but also reduce the overhead costs. Users can more naturally, quickly and intuitively convey commands through different types of HCI applications to computer. Leap $Motion^{1}$ is used to capture the information of users hand in this paper. Further recognize the hand gesture of user to reduce the burden of operating virtual instrument. We using neural network to analyze the information which captured from Leap Motion, then convey commands to computer. Finally, this paper will prove our system could maintain in real time and accurately state.
Starting Page	163
Ending Page	167
File Size	3157620
Page Count	5
File Format	PDF
e-ISBN	9781467382700
DOI	10.1109/UMEDIA.2015.7297448
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-24
Publisher Place	Sri Lanka
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Training Leap Motion Virtual Instruments Hand Gesture Recognition Neural Network Instruments Neurons Cameras Biological neural networks
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

3D human hand motion recognition system

Bayesian neural network approach to hand gesture recognition system

A real-time command system based on hand gesture recognition

Real-Time Hand Pose Recognition Based on a Neural Network Using Microsoft Kinect

Real-time hand posture analysis based on neural network

A bare-hand gesture interaction system for virtual environments

Real-time and continuous hand gesture spotting: An approach based on artificial neural networks

A System for a Hand Gesture-Manipulated Virtual Reality Environment

A real-time applicable 3D gesture recognition system for automobile HMI

Real-time virtual instruments based on neural network system

Similar Documents

3D human hand motion recognition system

Bayesian neural network approach to hand gesture recognition system

A real-time command system based on hand gesture recognition

Real-Time Hand Pose Recognition Based on a Neural Network Using Microsoft Kinect

Real-time hand posture analysis based on neural network

A bare-hand gesture interaction system for virtual environments

Real-time and continuous hand gesture spotting: An approach based on artificial neural networks

A System for a Hand Gesture-Manipulated Virtual Reality Environment

A real-time applicable 3D gesture recognition system for automobile HMI

Real-time virtual instruments based on neural network system