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Publication: IIP Proceedings Year: 2022, Month: November Page No: 83-94, ISSN/ISBN: 978-81-959356-3-5, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023643124D2BBDB8BB.pdf
AUTOMATED CRICKET INSTRUCTOR
Area/Stream: Computing Technologies and Data Sciences, Authors: Shruti Gupta, Sneh Modi, Aruna Pavate, Jovita D’lima, Mrinmoyee Mukherjee, Abhishek Sunkale Keywords: OpenPose; convolutional neural network; Cricket Shot Book Name /series: Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 1, Chapter 8Publication: IIP Proceedings Year: 2022, Month: November Page No: 83-94, ISSN/ISBN: 978-81-959356-3-5, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023643124D2BBDB8BB.pdf
Abstract:
Cricket is a very popular sport and growing in size, especially after the Indian Premier League (IPL). A prime challenge is to provide the players with a shot detection and judgmental model. Classifying cricket shots is usually a complex task. This paper presents a perspective of 3 shots of cricket into cut, drive and sweep from videos of shots played. The aims of this work is to classify shots by using images as input to the model as well as provide feedback about the quality of the shot played. The methodology used in this model is Open Pose Estimation which uses 18 key points on each image and the convolution neural network for the classification of shots. The test model accomplished an f1 score of 0.8, which is good considering that the dataset consists of 120 images.
Cite this: Shruti Gupta, Sneh Modi, Aruna Pavate, Jovita D’lima, Mrinmoyee Mukherjee, Abhishek Sunkale,"AUTOMATED CRICKET INSTRUCTOR", Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 1, Chapter 8, November, 2022, 83-94, 978-81-959356-3-5, https://rsquarel.org/assets/docupload/rsl2023643124D2BBDB8BB.pdf
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