Play2Vec web-based service for similar play retrieval
With the advent of technology in sports such as advanced 3D positioning tracking system and datasets, there is an unprecedented of such high-definition information for sports evaluation, coaching, talent management and study of sports psychology. However, the ability to interpret such data in a cohe...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2019
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| Online Access: | https://hdl.handle.net/10356/136552 |
| _version_ | 1826118401863450624 |
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| author | John, Benedict |
| author2 | - |
| author_facet | - John, Benedict |
| author_sort | John, Benedict |
| collection | NTU |
| description | With the advent of technology in sports such as advanced 3D positioning tracking system and datasets, there is an unprecedented of such high-definition information for sports evaluation, coaching, talent management and study of sports psychology. However, the ability to interpret such data in a coherent and useful manner as part of sports analysis is an area for development. To achieve this, Play2vec was developed to allow deep learning approach to learn the representations of sports play. This report highlights how the Play2vec approach is used to provide a web-based service which provides data analytics to render soccer analysts to compare and analyse between similar play types which can subsequently be used by coaches. For this project, an experimental and interim web-based service was developed to demonstrate a slice of the Play2vec deep learning representation model to retrieve similar sports play focused on soccer. The web-based service aims to provide sports analysts with technical experience a platform to evaluate game (soccer) play which can be distilled and used by coaches in performance management, talent management and evaluation of sports psychology in soccer play. |
| first_indexed | 2024-10-01T04:42:49Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/136552 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:42:49Z |
| publishDate | 2019 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1365522020-07-03T00:53:42Z Play2Vec web-based service for similar play retrieval John, Benedict - School of Computer Science and Engineering Long Cheng c.long@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence With the advent of technology in sports such as advanced 3D positioning tracking system and datasets, there is an unprecedented of such high-definition information for sports evaluation, coaching, talent management and study of sports psychology. However, the ability to interpret such data in a coherent and useful manner as part of sports analysis is an area for development. To achieve this, Play2vec was developed to allow deep learning approach to learn the representations of sports play. This report highlights how the Play2vec approach is used to provide a web-based service which provides data analytics to render soccer analysts to compare and analyse between similar play types which can subsequently be used by coaches. For this project, an experimental and interim web-based service was developed to demonstrate a slice of the Play2vec deep learning representation model to retrieve similar sports play focused on soccer. The web-based service aims to provide sports analysts with technical experience a platform to evaluate game (soccer) play which can be distilled and used by coaches in performance management, talent management and evaluation of sports psychology in soccer play. Bachelor of Engineering (Computer Engineering) 2019-12-27T08:12:27Z 2019-12-27T08:12:27Z 2019 Final Year Project (FYP) https://hdl.handle.net/10356/136552 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence John, Benedict Play2Vec web-based service for similar play retrieval |
| title | Play2Vec web-based service for similar play retrieval |
| title_full | Play2Vec web-based service for similar play retrieval |
| title_fullStr | Play2Vec web-based service for similar play retrieval |
| title_full_unstemmed | Play2Vec web-based service for similar play retrieval |
| title_short | Play2Vec web-based service for similar play retrieval |
| title_sort | play2vec web based service for similar play retrieval |
| topic | Engineering::Computer science and engineering::Computing methodologies Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | https://hdl.handle.net/10356/136552 |
| work_keys_str_mv | AT johnbenedict play2vecwebbasedserviceforsimilarplayretrieval |