NDLI: Visual gesture recognition for real-time editing system

Content Provider	IEEE Xplore Digital Library
Author	Byung-Woo Min Ho-Sub Yoon Jung Soh Young-Kyu Yang
Copyright Year	1999
Description	Author affiliation: Dept. of Image Process., Electron. & Telecommun. Res. Inst., Taejeon, South Korea (Byung-Woo Min)
Abstract	This research aims to recognize one-stroke pictorial gestures from visual images, and to develop a graphic/text editing system running in real time. The tasks are performed through three steps: moving-hand tracking and trajectory generation, key-gesture segmentation and gesture recognition by analyzing dynamic features. A gesture vocabulary consists of forty-eight gestures of three types: (1) six editing commands, (2) six graphic primitives, (3) alphanumeric characters-twenty-six alphabetic and ten numerical. Some dynamic features are obtained from spatio-temporal trajectories and quantized by the K-means algorithm. The quantized vectors were trained and tested using hidden Markov models (HMMs).
Starting Page	982
Ending Page	984
File Size	275669
Page Count	3
File Format	PDF
ISBN	0769502539
DOI	10.1109/MMCS.1999.778624
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-06-07
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Graphics Hidden Markov models Image recognition Text recognition Trajectory Image segmentation Performance analysis Vocabulary Testing
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

Modified levenshtein distance for real-time gesture recognition

On HMM static hand gesture recognition

A Hidden Markov Model-based continuous gesture recognition system for hand motion trajectory

Real-time Hand Gesture Recognition from Depth Image Sequences

A hybrid stochastic-connectionist architecture for gesture recognition

Development and validation of hardware architectures for real-time high-performance speech recognition systems

Real-time continuous gesture recognition for natural human-computer interaction

Real-time dynamic hand gesture recognition using hidden Markov models

A real-time continuous gesture recognition system for sign language

Visual gesture recognition for real-time editing system

Similar Documents

Modified levenshtein distance for real-time gesture recognition

On HMM static hand gesture recognition

A Hidden Markov Model-based continuous gesture recognition system for hand motion trajectory

Real-time Hand Gesture Recognition from Depth Image Sequences

A hybrid stochastic-connectionist architecture for gesture recognition

Development and validation of hardware architectures for real-time high-performance speech recognition systems

Real-time continuous gesture recognition for natural human-computer interaction

Real-time dynamic hand gesture recognition using hidden Markov models

A real-time continuous gesture recognition system for sign language

Visual gesture recognition for real-time editing system