1.) J. Chakraborty, S. Upadhyay, A. Nandy, “Musculoskeletal Injury Recovery Assessment using Gait Analysis with Ground Reaction Force Sensor,” in Medical Engineering & Physics, Elsevier, vol. 103, pp. 103788, May 2022.
2.) S. Hazra, A. A. Pratap and A. Nandy, "A Novel Probabilistic Network Model for Estimating Cognitive-Gait Connection using Multi-Modal Interface," in IEEE Transactions on Cognitive and Developmental Systems, 2022, doi: 10.1109/TCDS.2022.3222087.
3) A . Balmik, A. Paikaray, M. Jha, and A. Nandy,” Motion recognition using deep convolutional neural network for Kinect-based NAO teleoperation”, Robotica, vol. 40, issue 9, pp. 3233-3253, 2022. doi:10.1017/S0263574722000169.
4) A. Balmik, M. Jha, A. Nandy, “NAO Robot Teleoperation with Human Motion Recognition”, in Arabian Journal for Science and Engineering, Springer, August, pp. 1137-1146, vol. 47, issue 2, 2022.
5) S. Hazra, M. Pisipati, A. Puhan, A. Nandy, R. Scherer, “Two Novel Methods for Multiple Kinect v2 Sensor Calibration”, in International Conference on Computer Vision and Image Processing, pp. 403-414, 2022.
1.) S. Hazra, A. A. Pratap, D. Tripathy, A. Nandy, “Novel data fusion strategy for human gait analysis using multiple kinect sensors,” in Biomedical Signal Processing and Control, Elsevier, vol. 67, pp. 102512, May 2021.
2.) S. Hazra, A. A. Pratap, O. Agrawal, A. Nandy, “On Effective Cognitive State Classification Using Novel Feature Extraction Strategies" in Cognitive Neurodynamics, Springer, pp. 1-31, June, 2021.
3.) S. Hazra, S. Dutta, A. Nandy, “A Study On Understanding Cognitive States Through Gait Analysis” in Cognitive Systems Research, Elsevier, vol. 69, pp. 41-49, October, 2021.
4.) 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, vol. 93, pp. 1-10, 2021.
5.) A. Balmik, A. Kumar, A. Nandy, “Efficient Face Recognition System for Education Sectors in COVID-19 Pandemic”, in 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), IIT Kharagpur, pp.1-8, 2021.
6.) J. Chakraborty, H. S. Dabbiru, A. Nandy, “Speed Invariant Gait Event Identification using Dynamic Time Warping”, in 18th India Council International Conference (INDICON), pp.1-6, 2021.
7.) M. Pisipati and A. Nandy, “Human Emotion Recognition using EEG Signal in Music Listening”, in 18th India Council International Conference (INDICON), pp.1-6, 2021.
1.) S. Chakraborty and A. Nandy, "Automatic Diagnosis of Cerebral Palsy Gait Using Computational Intelligence Techniques: A Low-Cost Multi-Sensor Approach," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 11, pp. 2488-2496, Nov. 2020.
2.) 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.
3.) 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, vol. 104, pp. 109718 , 2020
4). 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, pp. 1-10, 2020
5.) 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
6.) 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.
7.) S. Hazra, P. Roy, A. Nandy and R. Scherer, "A Pilot Study for Investigating Gait Signatures in Multi-Scenario Applications," in the proceedings of International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-10
8.) 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, pp 536-549.
9.) G. Kumari, J. Chakraborty and A. Nandy, "Effect of Reduced Dimensionality on Deep learning for Human Activity Recognition," in the proceedings of 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Kharagpur, India, 2020, pp. 1-7
10.) S. Dutta, S. Hazra and A. Nandy, "A Smart Ambulatory Cognitive State Taxonomy System Through EEG Signal Analysis," in the proceedings of 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Kharagpur, India, 2020, pp. 1-7
11.) S. Chakraborty and A. Nandy, "An Unsupervised Approach For Gait Phase Detection," in the proceedings of 4th International Conference on Computational Intelligence and Networks (CINE), Kolkata, India, 2020, pp. 1-5
1.) 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
2.) 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 .
3.) 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.
4.) 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.
5.) 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.
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.
1.) A. Nandy, R. Chakraborty, P. Chakraborty, “Cloth invariant gait recognition using pooled segmented statistical features”, vol.191, pp. 117-140, Neurocomputing, 2016.
2.) A. Nandy, A. Pathak, P. Chakraborty, “A study on gait entropy image analysis for clothing invariant human identification”, Multimedia Tools and Applications, 2016.
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.
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
National Institute of Technology, Sector 1, Rourkela, Odisha
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