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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5648
Title: Coupled HMM-based multi-sensor data fusion for sign language recognition
Authors: Kumar P.
Gauba H.
Pratim Roy, Partha
Dogra D.P.
Published in: Pattern Recognition Letters
Abstract: Recent development of low cost depth sensors such as Leap motion controller and Microsoft kinect sensor has opened up new opportunities for Human-Computer-Interaction (HCI). In this paper, we propose a novel multi-sensor fusion framework for Sign Language Recognition (SLR) using Coupled Hidden Markov Model (CHMM). CHMM provides interaction in state-space instead of observation states as used in classical HMM that fails to model correlation between inter-modal dependencies. The framework has been used to recognize dynamic isolated sign gestures performed by hearing impaired persons. The dataset has been tested using existing data fusion approaches. The best recognition accuracy has been achieved as high as 90.80% with CHMM. Our CHMM-based approach shows improvement in recognition performance over popular existing data fusion techniques. © 2016 Elsevier B.V.
Citation: Pattern Recognition Letters (2017), 86(): 1-8
URI: https://doi.org/10.1016/j.patrec.2016.12.004
http://repository.iitr.ac.in/handle/123456789/5648
Issue Date: 2017
Publisher: Elsevier B.V.
Keywords: Bayesian classification
Depth sensors
Hidden Markov model (Coupled HMM, HMM)
Sign language recognition
ISSN: 1678655
Author Scopus IDs: 57212043589
57192437259
56880478500
35408975400
Author Affiliations: Kumar, P., Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, India
Gauba, H., Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, India
Roy, P.P., Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, India
Dogra, D.P., School of Electrical Sciences, Indian Institute of Technology, Bhubaneswar, India
Corresponding Author: Kumar, P.; Department of Computer Science and Engineering, Indian Institute of TechnologyIndia; email: pra14.dcs2014@iitr.ac.in
Appears in Collections:Journal Publications [CS]

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