Papers

  • Bajaj, Nikesh; Requena Carrión, Jesús; & Bellotti, Francesco PhyAAt: Physiology of Auditory Attention to Speech Dataset. [Preprint] arXiv preprint arXiv:2005.11577 (2020).  [PDF]
  • Bajaj, Nikesh; Requena Carrión, Jesús; Bellotti, Francesco; Berta, Riccardo, & De Gloria Alessandro, 2021. Analysis of Factors Affecting the Auditory Attention of Non-native Speakers in e-Learning Environments, The Electronic Journal of e-Learning, 19(3), pp. 159-169.  [PDF]
  • Bajaj, N., Carrión, J. R., Bellotti, F., Berta, R., & De Gloria, A. (2020). Automatic and tunable algorithm for EEG artifact removal using wavelet decomposition with applications in predictive modeling during auditory tasksBiomedical Signal Processing and Control, 55, 101624.  [PDF]
  • Bajaj, N., Bellotti, F., Berta, R., Carriòn, J. R., & De Gloria, A. (2018, December). Auditory Attention, Implications for Serious Game Design. In International Conference on Games and Learning Alliance (pp. 201-209). Springer, Cham.  [Link]
  • Bajaj, Nikesh; Requena Carrión, Jesús; & Bellotti, Francesco Deep representation of EEG data from Spatio-Spectral Feature Images. [Preprint] arXiv preprint arXiv:2206.09807 (2022).  [PDF]

 

Automatic and tunable algorithm for EEG artifact removal using wavelet decomposition with applications in predictive modeling during auditory tasks - Full Article is available in Biomedical Signal Processing and Control

 

Electrocardiographic Imaging, ML, Deeplearning Inverse Problem, Computational Models


Papers/Abstracts

  • Patel, K., Bajaj, N., Statton, B., Li, X., Herath, N. S., Nyamakope, K., ... & Ng, F. S. (2022). Bariatric surgery reverses ventricular repolarisation heterogeneity in obesity: mechanistic insights into fat-related arrhythmic riskEuropean Heart Journal43 (Supplement_2), ehac544-658. [Link]
  • Wu, H., Patel, K. H. K., Li, X., Zhang, B., Galazis, C., Bajaj, N., ... & Ng, F. S. (2022). A fully-automated paper ECG digitisation algorithm using deep learningScientific Reports12(1), 20963. [Link]



Games, Emotion and EEG Game+Emotion+EEG ~ BCI

This work is in collaboration with Pratheep K Paranthaman, Assistant Professor of Computer Science, Elon University, Elon, NC 27244


Papers

  • Paranthaman, P. K., Bajaj, N., Solovey, N., & Jennings, D. (2021, August). Comparative Evaluation of the EEG Performance Metrics and Player Ratings on the Virtual Reality Games. In 2021 IEEE Conference on Games (CoG) (pp. 1-8). IEEE. [Link]
  • Paranthaman, P. K., Vallabhajosula, S., Giordano, A., Walton, S., Tuisa, O., & Bajaj, N. (2023). User Experience Analysis in Obstacle Clearance Tasks in Virtual and Mixed Reality Environments. In Intelligent Sustainable Systems: Selected Papers of WorldS4 2022, Volume 2 (pp. 675-686). Singapore: Springer Nature Singapore.  [Link]
  • Jennings, D., Paranthaman, P. K., & Bajaj, N. (2023). Conceptual Design and Early Prototypes of a Gamified Virtual Reality Interview Training Application. In Intelligent Sustainable Systems: Selected Papers of WorldS4 2022, Volume 1 (pp. 93-104). Singapore: Springer Nature Singapore. [Link]

Deception Detection in Conversation Using Linguistic Markers


Papers

  • Bajaj, Nikesh, et al. "Deception detection in conversations using the proximity of linguistic markers." Knowledge-Based Systems (2023): 110422.  [Link]
  • Bajaj, Nikesh, et al. "Fraud detection in telephone conversations for financial services using linguistic features." 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada. AI for Social Good workshop. [Link]
  • Goodluck Constance, T., Bajaj, N., Rajwadi, M., Maltby, H., Wall, J., Moniri, M., ... & Cannings, N. (2021). Resolving Ambiguity in Hedge Detection by Automatic Generation of Linguistic Rules. In Artificial Neural Networks and Machine Learning–ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part V 30 (pp. 369-380). Springer International Publishing. [Link]

Patent

  • Laird, James, Nigel Cannings, Cornelius Patrick Glackin, Julie Ann Wall, and Nikesh Bajaj. "System and method for understanding and explaining spoken interactions using speech acoustic and linguistic markers." U.S. Patent Application 17/308,222, filed December 30, 2021. [Link]

Fraud detection in telephone conversations for financial services using linguistic features - Full Article is available Paper

 


 

Indian Sign Language Recognition

This is a first step towards designing a system for deaf and dumb. You must have seen people talking in sign language, they can only communicate with one who understand language of sign. Everybody do not understand signs, So we need a system which will generate voice after recognizing the signs. This will be one of the noble work by which these people will not feel isolated, They will not hesitate going around and enjoying the life, they will not miss a chance to talk any body just because they can not talk.

Here we have implemented our initial work on MATLAB and results are recorded and shown in video.

Paper is published and is available at IEEExplore you can find paper here : Go to Paper

 

Paper

 

Fractal Art in Signal Processing

Fractal Art in Signal Processing

This is one of the very fascinating work. There are many fractal equations available for generating different patterns. We also derived some new equations for generating different and beautiful patterns. Some of the Pattern generated are shown in figure. We further tried to use these pattern for designing clothes. Here 'Design' means not deciding the pattern, shape and outline of any dress but to putting different patterns on dress in different ways.

Elementary paper is published and available in IEEExplore: Link

Paper

Other detail paper is in process.

 

 

Facial Expression Recognition

Facial Expression Recognition

This paper does not contain very good detail of work, another paper is in process which will have all the details

Paper

Other detail paper is in process.

A Neuroscience Based Approach to Game Based Learning Design

Abstract

In recent years designing a game for education has become very popular. Neuroscience has developed many theories of learning, based on how brain learns. We discuss a design approach for conventional teaching methods. The proposed approach illustrates the opportunities to exploit the concept of neuroscience and combine it with game for educational purpose. The pedagogies based on neuroscience and psychology have been adapted in teaching very well and the same is expected to work well with Game Based Learning (GBL).

 

Paper

Save

Save

Enhancement of A5/1: using variable feedback polynomial of LFSR

Abstract:

The Global System for Mobile communication, GSM is the most widely used cellular system in the world, with over a billion customers around the world. GSM was the first cellular system which seriously considered security threats. Previous cellular systems had practically no security, and they were increasingly the subject of criminal activity such as eavesdropping on cellular calls, phone cloning, and call theft. The GSM voice calls are encrypted using a family of algorithms collectively called A5. A5/1 is the stream cipher which encrypts the information transmitted from mobile user. Initially A5 algorithm was kept secret to ensure the security but as algorithm was disclosed many cryptanalytic attacks were proposed and proved the A5 algorithm cryptographically weak. In this paper the modification in A5/1 is proposed to make it robust and resistive to the attacks. Modification is done in two ways (1) feedback tapping mechanism which is enhanced by variable taps for LFSR (Linear Feedback Shift Register) and random shuffling of LFSRs, which increases the complexity of the algorithm without compromising the properties of randomness and (2) clocking rule. The modification has been proposed keeping the ease of implementation in mind. This modified algorithm has been simulated in MATLAB and tested its randomness properties by `Randomness test suit' given by NIST-National Institute of Standard and Technology and obtained satisfactory results.

In this paper enhancement of A5/1 Encryption technique is proposed. Same was simulated in MATLAB and tested with NIST Test suit for randomness.


Full paper is available at following link
Go to Paper

Paper

Other detail paper is in process.

FRFT & Steganography

Filter Design in FRFT Domain

 

Paper

Steganography: Audio in Image