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@article{169369,
        author = {Animesh Kumar and Nikhil Arya and Priyanshu Raj and Harshit Raj and Shivam Yadav},
        title = {Real time sports analytics system},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {965-975},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169369},
        abstract = {In this paper, we aim at analyzing the integration of machine learning (ML) algorithms with wearable and non-contact sensors in sports analysis. It categorizes the current literature into three primary areas: monitoring systems, the areas of computer vision and wireless/mobile, and specifically focuses on systems used in real-time sport analytics. In these applications, relative merits and demerits of different types of ML approaches including statistical learning, deep learning, and reinforcement learning are discussed. The research also develops a novel approach for continuously tracking object-human interactions in sports, using visual object tracking technology, key point detection and identification, and identity preservation techniques. Last of all, prospects for further research and new generation technologies in sports analytics are presented, including augmented reality, biomechanics, and artificial intelligence to enhance performance.},
        keywords = {machine learning, wearable sensors, sports analysis, computer vision, real-time analytics, deep learning, reinforcement learning, augmented reality, biomechanics},
        month = {November},
        }