PUBLICATIONS

Journals
  1. Shanmugasundaramurthi, K. A., Baghel, V., Kirupakaran, A. M., Warburton, J., Srinivasan, R., Hegde, R. S., & Srinivasan, B. (2026). HistoTrack++: A Vision-Based System for Temporal Bout Segmentation, Multi-Target Tracking and Kinematic Analysis in Overhead Combat Sports Videos. Journal of Signal Processing Systems, 98(1), 4.
  2. Manoharan, S., Jadhav, A., Dominic, D., Srinivasan, R., Natarajan, B., & Srinivasan, B. (2026). A Machine learning framework for calf muscle fatigue assessment using IMU sensors and EMG-Based labeling. Journal of Electromyography and Kinesiology, 103150.
  3. Manoharan, S., Warburton, J., Hegde, R. S., Srinivasan, R., & Srinivasan, B. (2025). An active machine learning framework for automatic boxing punch recognition and classification using upper limb kinematics. Plos one, 20(5), e0322490.
  4. Manoharan, S., Warburton, J., Hegde, R., Srinivasan, R., Srinivasan,B*. 2023. Classifying Punch Types and Ranges in Boxers: A Machine Learning Approach with IMU Sensor Data. 14th Congress of International Society of Biomechanics/ Japanese Society of Biomechanics. (Accepted and Presented)
  5. Rethinam, P., Manoharan, S., Kirupakaran, A. M., Srinivasan, R., Hegde, R. S., & Srinivasan, B. (2023, September). Olympic Weightlifters' Performance Assessment Module Using Computer Vision. In 2023 IEEE International Workshop on Sport, Technology and Research (STAR) (pp. 8-12). IEEE. (Accepted)
  6. Manoharan, S., Warburton, J., Hegde, R., Srinivasan, R., & Srinivasan, B. (2023, November). Punch Types and Range Estimation in Boxing Bouts Using IMU Sensors. In 2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) (pp. 97-102). IEEE. (Under Review)
  7. Karthikeyan, A.S., Baghel,V., Kirupakaran, A.M., Warburton, J., R., Srinivasan, R., Srinivasan, B*., Hegde, R*. 2023. Towards AI enabled automated tracking of multiple boxers. arXiv:5051489. (Archived)

Conferences & Proceedings

planned publications

  • Gupta, Ashish K.; Pasunuru, Sai Vineeth; Singh, Aakansha; Kumar, Ashish; Panchagnula, Mahesh V.; Rajagopalan, A.N. Mechano-vision interrogation of ball bounce and ball flight. (Under internal review)
  • Pasunuru, Sai Vineeth; Panchagnula, Mahesh V.; Patankar, Neelesh A. Mechanical closed form model of a spinning ball bounce in three dimensions. (Under internal review)
  • Ravichandran, Sriram; Sudarsanam, Nandan; Contractor, Noshir. Quantifying individual performance in cricket through contributions to team win probabilities (under internal review)
  • Naryani, Ishan S.; Sudarsanam, Nandan; Contractor, Noshir. A Kano model based categorisation of players in IPL cricket: insights on team composition. (submitted for presubmission enquiry with Nature Human Behaviour)
  • Gupta, Ashish K.; Pasunuru, Sai Vineeth; Singh, Aakansha; Kumar, Ashish; Panchagnula, Mahesh V.; Rajagopalan, A.N. Mechano-vision interrogation of ball bounce and ball flight. (Under internal review)
  • Pasunuru, Sai Vineeth; Panchagnula, Mahesh V.; Patankar, Neelesh A. Mechanical closed form model of a spinning ball bounce in three dimensions. (Under internal review)
  • Ravichandran, Sriram; Sudarsanam, Nandan; Contractor, Noshir. Quantifying individual performance in cricket through contributions to team win probabilities (under internal review)
  • Naryani, Ishan S.; Sudarsanam, Nandan; Contractor, Noshir. A Kano model based categorisation of players in IPL cricket: insights on team composition. (submitted for presubmission enquiry with Nature Human Behaviour)
  • Naryani, Ishan S.; Sudarsanam, Nandan; Frey, Daniel D. Experimenting in the regular season for peak performance in the playoffs: determining optimal strategies. (Under internal review)
  • R Arun Prakash & Raghunathan Rengaswamy, Ball-by-ball score-card realisation from end of cricket score-card (Under Internal review)
  • Aziz Murtuza Kanchwala & Raghunathan Rengaswamy, The Application of Time Series Models to Examine the Factors that Impact Auction Prices and to Perform Qualitative Squad Analysis for Franchises in the IPL (Under internal review)
  • Maheshwarran Karthikeyan, Raghunathan Rengaswamy, Arun Prakash, Ujjal Nandy, Arnesh Kumar Bose & Aziz Kanchwala, Forecaster - A combined resource allocation and machine learning approach to predicting cricket scores (Under internal review)
  • Maheshwarran Karthikeyan, Raghunathan Rengaswamy and Ujjal Nandy, SmartStats – A new measure to ascertain individual contribution of a cricketer (Under internal review)
  • Saravanan, M, Pragathi R, R. Srinivasan and B. Srinivasan - Opportunities for IoT and Computer Vision to Enhance the Performance of Olympic Boxers (Under internal review)
  • Karthikeyan, A.S. R. Srinivasan and B. Srinivasan - An IoT based device to identify the foot position of boxers (Patent filing under progress).
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