Feature analysis for the reversible watermarked electrooculography signal using Low distortion Prediction-error Expansion

Proceedings of the 2012 International Conference on Communications, Devices and Intelligent Systems, CODIS 2012

Volumn , Issue , 2012, Pages 624-627

  Dey, Nilanjan ^a   Das, Poulami ^a   Biswas, Shouvik ^a   Das, Achintya ^b   Chaudhuri, Sheli Sinha ^c  

^a JIS COLLEGE OF ENGINEERING   (India)

^b KALYANI GOVERNMENT ENGINEERING COLLEGE   (India)

^c JADAVPUR UNIVERSITY   (India)

Author keywords

Electrooculography; Low Distortion; Prediction error; SNR

Indexed keywords

BIOMEDICAL INFORMATION; CORRELATION VALUE; DIAGNOSTIC PARAMETER; EOG SIGNAL; EXCHANGE OF INFORMATION; FEATURE ANALYSIS; LOW DISTORTION; MEDICAL CENTER; MULTIMEDIA CONTENTS; PREDICTION-ERROR; PREDICTION-ERROR EXPANSIONS; SIGNAL INTEGRITY; SIGNALTONOISE RATIO (SNR); SNR; WATERMARK INSERTION; WIRELESS MEDIA;

ELECTROOCULOGRAPHY; EYE MOVEMENTS; FORECASTING; HOSPITALS; INTELLIGENT SYSTEMS;

WATERMARKING;

EID: 84874437606     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CODIS.2012.6422280     Document Type: Conference Paper

References (8)

1. J. Fridrich, M. Goljan, and R. Du. Invertible authentication. Security and Watermarking of Multimedia Contents III, pages 197-208,Jan. 2001.
2. A. Ranjan, R. G.Shivakekshavan, V. Ramanath.J. Electrooculogram based Instrumentation and Control System (IC System) and its Applications for Severely Paralysed Patients. ICBPE 2006.
3. J. Behrman. Electrodiagnostic Tests In Eye Disease. Postgraduate MedicalJournal, 40: 725, December, 1964.
4. Dinu Coltuc, Member, IEEE, "Low Distortion Transform for ReversibleWatermarking", IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 21, NO. 1, JANUARY 2012.
5. http://ncalculators.com/statistics/signal-noise-ratio-calculation.htm
6. Nucleo de Engenharia Biomedica do Instituto Superior Tecnico. (2009/10).Labs PDS20092010-materialExtra-eogSig.mat.
7. Ericka Janet Rechy-Ramirez and Housheng Hu, "Stages for Developing Control Systems using EMG And EEG Signals : A Survey", Technical Report, School of Computer Science and Electronics Engineering, University Of Essex, United Kingdom.
8. S. Aungsakul, A. Phinyomark, P. Phukpattaranont, C. Limsakul, "Evaluating Feature Extraction Methods of Electrooculography (EOG) Signal for Human-Computer Interface", I-SEEC2011