1.) J. Chakraborty, A. Nandy, "Discrete wavelet transform based data representation in deep neural network for gait abnormality detection", in Biomedical Signal Processing and Control, Elsevier, Volume 62: 102076, September 2020 (IF: 3.137).
2.) S. Chakraborty, T. Yamaguchi, A. Nandy, V. Bonnet, G. Venture, “Accuracy of image data stream of a markerless motion capture system in determining the local dynamic stability and joint kinematics of human gait”, in Journal of Biomechanics, Elsevier, 2020 (IF:2.576) [In Press].
3). S. Chakraborty, S. Jain, A. Nandy, G. Venture, "Pathological Gait Detection Based on Multiple Regression Models Using Unobtrusive Sensing Technology", In Journal of Signal Processing Systems, Springer, 2020 (I.F: 1.035 ), [In Press].
4.) S. Chakraborty, A. Nandy and T. Kesar, “ Gait Deficits and Dynamic Stability in Children and Adolescents with Cerebral Palsy: A Systematic Review and Meta-analysis" In Clinical Biomechanics, Elsevier, vol. 71, pp.11-23, 2020 (Impact Factor: 1.977)
5.) S. Dutta and A. Nandy, “An Extensive Analysis on Deep Neural Architecture for Classification of Subject-Independent Cognitive States”, in 7th ACM IKDD CoDS and 25th COMAD, ISB, Hyderabad, India, pp. 180-184, 5-7 January 2020.
6) S. Hazra, P. Roy, A. Nandy and R. Scherer,"A Pilot Study for Investigating Gait Signatures in Multi-Scenario Applications," in International Joint Conference on Neural Network, IJCNN-2020, 19 - 24th July, 2020, Glasgow (UK) [Accepted] (CORE RANKING: 'A')
7) S. Chakraborty, N. Thomas and A. Nandy, "Gait Abnormality Detection in People with Cerebral Palsy using an Uncertainty-based State-space Model" in 20th International Conference on Computational Science, ICCS-2020, 3-5 June, 2020, Amsterdam, Netherlands [Accepted] (CORE RANKING: 'A')
8) Kumari, G., Chakraborty, J., & Nandy, A. "Effect of Reduced Dimensionality on Deep learning for Human Activity Recognition," In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), (2020, July), (pp. 1-7). IEEE.
1.) S. Chakraborty, and A. Nandy, " UNSUPERVISED APPROACH FOR GAIT PHASE DETECTION" In 4th International on International Conference on Computational Intelligence and Networks (CINE 2020) 27-29 February, 2020. Indian Statistical Institute, Kolkata, India (Accepted).
2.) Saikat Chakraborty, Rishabh Mishra, Anurag Dwivedi, Tania Das, and Anup Nandy, " A Low-Cost Pathological Gait Detection System in Multi-Kinect Environment," In 20th International Symposium on Optomechatronic Technologies (ISOT 2019) from November 11 - 13, 2019, Goa, India (Accepted)
3.) Sumanto Dutta, and Anup Nandy, "Data Augmentation For Ambulatory EEG Based
Cognitive State Taxonomy System With RNN-LSTM" in 39th SGAI International Conference on Artificial Intelligence (SGAI-2019), Cambridge, England, pp. 468-473, December, 2019 .
4.) Jayeeta Chakraborty and Anup Nandy, “Periodicity Detection of Quasi-periodic Slow-speed Gait Signal using IMU sensor”, In 21st International Conference on Human Computer Interaction, HCII-2019, Florida, USA, pp. 140-152 , 2019.
5.) Sumanto Dutta, Sumit Hazra, Anup Nandy, "Human Cognitive State Classification through Ambulatory EEG Signal Analysis". 18th International Conference on Artificial Intelligence and Soft Computing (ICAISC-2019), pp. 169-181, Zakopane, Poland, June 2019.
6.) A. Nandy, “Statistical methods for analysis of Parkinson’s disease gait pattern and
classification” in Multimedia Tools and Applications, Springer, vol. 78, no. 14, pp. 19697–19734, 2019. (Impact Factor: 2.101)
1.) S. Chattopadhyay and A. Nandy, "Human Gait Modelling Using Hidden Markov Model For Abnormality Detection" in Proceedings of the 2018 IEEE Region 10 Conference TENCON-2018, pp. 0623-0628, 2018.
2.) Saikat Chakraborty, Dibyayan Mondal, Anup Nandy, “A Study on Human Gait Kinematic Validation in Multi-Kinect v2 Environment”, In in Proceedings of the 2018 IEEE Conference INDICON-2018, December 16-18, 2018.
3.) S. Chakraborty and A. Nandy, “Comparison of Local Dynamic Stability of Treadmill Gait Data in Three Different Planes through Maximal Lyapunov Exponent”, In IEEE International Conference on Computing, Power and Communication Technology, pp. 96-100, 2018.
1.) A. Nandy, P. Chakraborty, “A study on human gait dynamics: Modeling and Simulation on OpenSim Platform”, vol. 76, pp. 21365-21400, Multimedia Tools and Applications, 2017. (Impact Factor: 2.101)
1.) A. Nandy, R. Chakraborty, P. Chakraborty, “Cloth invariant gait recognition using pooled segmented statistical features”, vol.191, pp. 117-140, Neurocomputing, 2016. (Impact Factor: 4.072)
2.) A. Nandy, A. Pathak, P. Chakraborty, “A study on gait entropy image analysis for clothing invariant human identification”, Multimedia Tools and Applications, 2016. (Impact Factor: 2.101).
1.) A. Nandy, and P. Chakraborty, “A new paradigm of human gait analysis with Kinect”- In Int. Conf. on Contemporary Computing, (IC3-2015), Noida, In Springer CCIS, pp. 443-448, 2015.
1.) A. Nandy, P. Chakraborty, G. C. Nandi, “Person Tracking and Segmentation for Human Gait Biometric System” – International Journal of Biometrics, vol.6, Issue 3, pp. 205-230, 2014
2.) A. Nandy, R. Chakraborty, P. Chakraborty, G. C. Nandi “A novel approach to Human Gait Recognition using possible speed invariant features” –International Journal of Computational Intelligence Systems, vol 7, Issue 6, pp. 1174-1193, 2014. (Impact Factor: 2.153)
3.) S. Bhowmick, A. Nandy, P. Chakraborty, G. C. Nandi.: “A Speed Invariant Human Identification System using Gait Biometrics” International Journal of Computational Vision and Robotics, (IJCVR), vol.4, Issue 1, pp.3-22, 2014.
4.). A. Nandy, A. Pathak, P. Chakraborty, G. C. Nandi, “Gait Identification using Component based Gait Energy Image Analysis”, In IEEE Int. Conf. on Signal propagation and Computer Technology, vol. 1, pp. 380-385, 2014
1.) S. Mondal, A. Nandy, P. Chakraborty, G. C. Nandi, “Gait Based Personal Recognition System using Rotation Sensor” – In the proceeding of International Journal of Emerging Trends in Computing and Information Sciences (CIS -2012), vol. 3, no. 3, pp. 395-402, 2012.
2.) A. Nandy, S. Mondal, L. Rai, P. Chakraborty, G. C. Nandi, “A Study on Damping Profile for Prosthetic Knee”, In 1st International Conference on Advances in Computing, Communications and Informatics, Chennai, India, In the proceeding of ACM, pp. 511-517, 2012.
3.) S. Shahid, A. Nandy, S. Mondal, P. Chakraborty, G. C. Nandi , M. Ahmed, “A Study on Human Gait Analysis”, In 2nd International Conference on Computational Science, Engineering and Information Technology (CCSEIT), Coimbatore, India, In the proceeding of ACM, pp. 358-364, 2012
1.) S. Mondal, A. Nandy, P. Chakraborty and G. C. Nandi, “A Central Pattern Generator based Nonlinear Controller to Simulate Biped Locomotion with a Stable Human Gait Oscillation” – International Journal of Robotics and Automation (IJRA), vol. 2, Issue 2, pp. 93-106, 2011.
2.) A. Nandy, S. Mondal, P. Chakraborty and G. C. Nandi, “Gesture based imitation learning for Human Robot Interaction” – In the proceeding of International Journal of Artificial Intelligence and Neural Networks, vol. 1, Issue 1, pp. 25-30, 2011
1.) S. Mondal, A. Nandy, A. Chakrabarti, P. Chakraborty, G. C. Nandi, “A framework for synthesis of human gait oscillation using Intelligent Gait Oscillation Detector (IGOD)”, In 3rd International Conference on Contemporary Computing, Noida, India, In Springer CCIS, Vol. 94, pp. 340 - 349, 2010.
2.) A. Nandy, S. Mondal, J. S. Prasad, P. Chakraborty, G. C. Nandi, “Recognizing & Interpreting Indian Sign Language Gesture for Human Robot Interaction”, In the proceeding of IEEE Xplore, pp. 712 -717, 2010.
3.) A. Nandy, S. Mondal, J. S. Prasad, P. Chakraborty, G. C. Nandi, “Recognition of Isolated Indian Sign Language gesture in Real Time”, In the Journal of (Information Processing and Management) Springer LNCS-CCIS, Vol. 70, pp. 102-107, 2010.
4.) A. Nandy, J.S.Prasad, P. Chakraborty, G. C. Nandi and S. Mondal, “Classification of Indian Sign Language In Real Time” – In International Journal on Computer Engineering and Information Technology (IJCEIT), vol. 10, no.15, pp. 52-57, 2010.
Machine Intelligence & Bio-Motion Research Lab
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