NDLI: Graphical Models for real-time capable gesture recognition

Content Provider	IEEE Xplore Digital Library
Author	Rehr, T. Theissing, N. Bannat, A. Gast, J. Arsic, D. Wallhoff, F. Rigoll, G. Mayer, C. Radig, B.
Copyright Year	2010
Description	Author affiliation: Human-Machine Communication, Department of Electrical Engineering and Information Technologies, Technische Universität München, Munich, Germany (Rehr, T.; Theissing, N.; Bannat, A.; Gast, J.; Arsic, D.; Wallhoff, F.; Rigoll, G.) \|\| Image Understanding and Knowledge-Based Systems, Computer Science Department, Technische Universität München, Munich, Germany (Mayer, C.; Radig, B.)
Abstract	In everyday live head gestures such as head shaking or nodding and hand gestures like pointing gestures form important aspects of human-human interaction. Therefore, recent research considers integrating these intuitive communication cues into technical systems for improving and easing human-computer interaction. In this paper we present a vision-based system to recognize head gestures (nodding, shaking, neutral) and dynamic hand gestures (hand moving right/left/up/down, fist moving right/left) in real-time. The gestural input delivers a communication modality for a human-robot interaction scenario situated in an assistive household environment. The use of fast low-level image-feature extraction methods contributes to the real-time capability of the system and advanced classification approaches relying on Graphical Models provide high robustness. Graphical Models offer the possibility to group the input features in several sub-nodes resulting in a better classification than obtained via a traditional Hidden Markov Model classification. The applied grouping can regard interdependencies owing to, either physical constraints (like for the head gestures), or interrelations between shape and motion (like for the hand gestures).
Starting Page	2445
Ending Page	2448
File Size	222031
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5651873
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Head Real time systems Feature extraction Graphical models Shape Gesture recognition real-time gesture recognition graphical models
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

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