Grant: Alliance Grants

The sports analytics industry has witnessed a significant transformation with the advent of Artificial Intelligence (AI), providing unparalleled insights and data-driven strategies to enhance athletic performance and viewer engagement. In recent years, application of AI in sports analytics has revolutionized the way athletes, coaches, and sports enthusiasts engage with and understand the game. The intersection of Machine Learning (ML), Deep Learning (DL), Computer Vision (CV), and advanced analytics has opened new landscapes for extracting insights, improving performance, and enhancing the viewer experience. The proposed research project entitled "Multi-Modal Perceptual Systems for Sports Analytics," sits at the forefront of this innovation, aiming to extend the reach of sophisticated sports analytics from the professional arenas (such as National Hockey League (NHL)) to the flourishing fields of minor and youth leagues. Increasing and enhancing young athletes' accessibility to advanced analytical tools not only aids in nurturing their physical wellbeing but also fosters a culture of strategic thinking and continuous improvement. Integration of AI in sports analytics is of paramount importance as highlighted in recent literature illustrating the significance of AI in providing actionable insights for performance enhancement of young athletes. Furthermore, AI-powered extraction of event data from sport matches can reduce reliance on expensive equipment and manual labor. As the landscape of sports analytics evolves, the necessity for robust, versatile, and accessible analytical tools becomes paramount. The goal of this partnership with SportLogiq is to address this need, offering a comprehensive suite of AI-powered solutions tailored for the unique challenges and opportunities present in minor and youth leagues. By harnessing AI power, we endeavor to democratize sports analytics, ensuring that teams and players at all levels can benefit from the competitive edge that AI brings to the table.