About me

I graduated from Indian Institute of Technology, Kharagpur in 2018 with a masters in signal processing. I have been aware that to be a student of Human computer interaction (HCI) theoretical study and coursework is one thing, the development of practical abilities is another thing. In addition to this, HCI is more an applied subject than a theoretical one. With this realization, I have made conscious efforts to participate in research projects. I worked alongside a team of researchers developing a multi-modal approach to study the effects of meditation on the cognitive and affective states. In which about data from 300 participants were recorded using non-invasive techniques. One of the major aspects of this project was estimating the cognitive state of an individual using the Eye tracking data acquired during the experiments. @Google scholar .

My research seeks to advance subsurface imaging toward more robust and uncertainty-aware solutions through the intersection of field experiments, numerical simulation, and high-performance computing with applications in site characterization and natural hazards.
Current Work Published Work Software Collaborations
Published Data Technical Reports Open Access Courses Material
You can check out my recent work below 😉

Recent Work

Photo by nrd on Unsplash Localization of eye saccadic signatures in electrooculograms using sparse representations with data driven dictionaries

In this paper, we propose two methods for localizing saccadic eye movement signatures from Electrooculograms (EOG). The first approach uses a sparse representation of data-driven dictionaries of saccadic movements. In this approach, we match the EOG subsequence with the dictionary element using distance metrics to identify the saccades. The second approach is to compare a saccadic signature template with the EOG subsequence using Dynamic Time Warping (DTW). We find that the proposed methods have advantages over one another in context specific applications. The first method is significantly faster with considerable accuracy, while the second approach is more accurate.

Photo by nrd on Unsplash Modeling and Analysis of Electrodes for Electrooculography

Selection of suitable electrodes for practical applications in electrooculography (EOG) is an open research problem. The present paper compares electrodes made of various materials (Copper, gold, silver and Ag-Ag-Cl) in terms of SNR, shape and surface area and employs statistical analysis to address the issue of choice of electrodes. A low-cost dry electrode assembly for EOG has also been proposed. The preliminary findings suggest that the proposed set of electrodes improve the quality of EOG recordings and are thus suitable for a wide range of EOG studies and BCI applications. Besides, the design of the electrodes has been tested on a number of subjects and found to ensure a more comfortable fit compared to the conventional electrodes and may hence be suitable for use over a long period of time.

Photo by nrd on Unsplash Active Sensors for the Acquisition of Physiological Signals

The acquisition of physiological signals from human subjects has been an important research area for quite some time. Common issues involved in standard schemes for acquisition and processing of physiological signals, such as the possibility of the electrodes being easily damaged, or the probability of irritation upon prolonged usage, necessitate the development of active sensors for the acquisition of physiological signals. The present paper proposes the use of gold-plated copper electrodes with active compensation to obtain electroencephalogram (EEG), electrooculogram (EOG), and electrocardiogram (ECG) signals. The quality of the signal obtained has been compared with those obtained with standard sensors. The paper has two significant contributions: the proposal of sensors with active compensation, and preparation of a composite database.

Technical Reports

  • Cox, B.R., Vantassel, J.P. (2021). "Deep Shear Wave Velocity Profiling Using MASW and MAM Surface Wave Methods: Idaho National Laboratory" Geotechnical Engineering Report GR21-03, The University of Texas at Austin. May 2021.
  • Cox, B.R., Vantassel, J.P., & Yust, M. (2021). "Deep Shear Wave Velocity Profiling Using MASW and MAM Surface Wave Methods: Pantex Plant PSHA Site Investigation". Geotechnical Engineering Report GR21-01, The University of Texas at Austin. January 2021.
  • Cox, B.R. & Vantassel, J.P. (2019). "Deep Shear Wave Velocity Profiling Using MASW and MAM Surface Wave Methods: Amarapura Urban Development Project (AUDP)". October 2019.
  • Cox, B.R. & Vantassel, J.P. (2019). "Shear Wave Velocity Profiling Using MASW and MAM Surface Wave Methods: Wellington Girls' College in Wellington, New Zealand". May 2019.
  • Cox, B.R. & Vantassel, J.P. (2017). "Deep Shear Wave Velocity Profiling Using MASW and MAM Surface Wave Methods: SCDOT Deep Borehole Sites near Andrews and Conway, South Carolina", Geotechnical Engineering Report GR17-18, The University of Texas at Austin. July 2017.
  • Cox, B.R., Teague, D., Vantassel, J.P. & Yust, M. (2017). “Deep Shear Wave Velocity Profiling Using MASW and MAM Measurements: East Bay Municipal Utility District (EBMUD) Delta Tunnel Project,” Geotechnical Engineering Report GR17-04, The University of Texas at Austin. January 2017.