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High-speed gesture modelling through boundary analysis of active signals from wearable data glove.

, , , and . Int. J. Grid Util. Comput., 10 (1): 29-35 (2019)

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A segmented-mean feature extraction method for glove-based system to enhance physiotherapy for accurate and speedy recuperation of limbs., , and . ICACCI, page 1983-1988. IEEE, (2016)Improving the Feature Stability and Classification Performance of Bimodal Brain and Heart Biometrics., , , , and . SIRS, volume 425 of Advances in Intelligent Systems and Computing, page 175-186. Springer, (2015)PIN Generation Using Single Channel EEG Biometric., , , and . ACC (4), volume 193 of Communications in Computer and Information Science, page 378-385. Springer, (2011)Extracting Single Trial Visual Evoked Potentials using Selective Eigen-Rate Principal Components., , and . IEC (Prague), page 330-333. Enformatika, Çanakkale, Turkey, (2005)Eliminating Forgers Based on Intra Trial Variability in Online Signature Verification Using Handglove and Photometric Signals., , , and . J. Information Security, 1 (1): 23-28 (2010)Classification of Motor Imaginary Signals for Machine Commmunication - A Novel Approach for Brain Machine Interface Design., , and . ICSAP, page 34-38. IEEE Computer Society, (2009)Classification of Motor Imaginary Tasks using Adaptive Recursive Bandpass Filter - Effective Classification for Motor Imaginary BCI., , and . SIGMAP, page 113-118. INSTICC Press, (2008)High-speed gesture modelling through boundary analysis of active signals from wearable data glove., , , and . Int. J. Grid Util. Comput., 10 (1): 29-35 (2019)Meditainment and innotainment for improving health and intellect., and . Comput. Entertain., 8 (4): 24:1-24:3 (2010)A novel approach to improve the performance of the P300 speller paradigm., , and . SMC, page 3786-3790. IEEE, (2010)