Abstract
In this article, the overview of the following research works are described. (1) Multi-spectral image analysis: discrimination of changed and unchanged pixels in the multi-temporal satellite images using the unsupervised techniques like Otsu’s thresholding of local neighborhood information based technique; local binary similarity pattern descriptor based technique, (2) Hand gesture recognition: static hand gesture recognition in real-time; design of robust classifier against orientation and scale sensitivity; development of an interactive system for hand gesture based applications, (3) Electroencephalogram signal analysis for detection of P300 based brain computer interface spellers with alphabetic writing systems: using principal component analysis and ensemble of weighted support vector machines (SVMs); using score normalization of ensemble SVMs, (4) Electrocardiogram signal analysis: cardiac arrhythmia classification based on convolutional neural network.
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Few major publications obtained from YFRF support
Gupta N, Pillai GV, Ari S (2018b) Change detection in optical satellite images based on local binary similarity pattern technique. IEEE Geosci Remote Sens Lett 15(3):389–393
Gupta N, Pillai GV, Ari S (2018a) Change detection in Landsat images based on local neighbourhood information. IET Image Process 12(11):2051–2058
Kundu S, Ari S (2018) P300 detection with brain–computer interface application using PCA and ensemble of weighted SVMs. IETE J Res 64(3):406–414
Sahoo SP, Ari S (2019) On an algorithm for human action recognition. Expert Syst Appl 115:524–534
Acknowledgements
This publication is an outcome of the R&D work undertaken in the project under the Visvesvaraya PhD Scheme of Ministry of Electronics & Information Technology, Government of India, being implemented by Digital India Corporation (formerly Media Lab Asia) [Grant No. PhD-MLA/4(13)/2015-16]. A high performance computing facility is created from this project to support the different research activities.
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Ari, S. An overview of the research work on multispectral imaging, hand gesture recognition, EEG and ECG signal processing. CSIT 7, 75–79 (2019). https://doi.org/10.1007/s40012-019-00255-6
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DOI: https://doi.org/10.1007/s40012-019-00255-6