Sports Data Analytics
Signal analysis research (SAR) group in the ECE Dept. at Ryerson University is leading the research and development of sports-related and physiological-related signal and information processing systems. With the advancement in sensing, processing, cloud storage, and machine learning techniques the sports world is set to face a rapid growth in integrating these technological advancements for better training and decision making in major sports. The advent of low-power, wireless wearable devices have created an opportunity for "rich" behavioral and biosignals data. The high volume and velocity data obtained needs advanced signal processing and pattern classification techniques to reveal latent and hidden patterns of interest. The project will specifically focus on soccer videobase collected over many years by the Signal Analysis Research (SAR) lab. More details of the work done by SAR lab could be seen in the website: www.ryerson.ca/sar, and the specific publication in the area of soccer video processing could be obtained from the group's IEEE ICASSP paper quoted below: "Marchal, J., Ioana, C., Radoi, E., Quinquis, A. and Krishnan, S., 2006, May. Soccer video retrival using adaptive time-frequency methods. In Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on (Vol. 5, pp. V-V). IEEE."
The specific duties and responsibilities of the RA includes: 1) pre-processing the dataset and also enhancing it with new videos from multiple broadcasters 2) create simple video processing algorithms for feature analysis 3) designing pattern recognition algorithms for video retrieval and pattern recognition applications
Good outcomes in Signals and Systems and related courses
Sridhar Krishnan : Sports Data Analytics | Tuesday March 21st 2017 12:37 PM