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Fujii Lab
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The lab uses machine learning to interpret body movement data from sports.
AboutAbout the lab
Uncovering the skill of human movement from data.
The Fujii Lab researches information processing technologies, such as machine learning, for handling complex time-series data including human body movement.
Mainly using body movement data from sports actually played, the lab aims to elucidate skillful human movement and flexible teamwork.
Another of its goals is to develop information technology that a wide range of people can use conveniently.
Key terms
- Time-series data
- Data arranged along the passage of time. Examples include records of player and ball positions during a match
- Machine learning
- An information processing technology that has computers find patterns in data
NewsLab news
Keisuke Fujii's book "Sports Analytics in the Age of AI" (in Japanese) was published by University of Tokyo Press
At the Sports Data Science Competition 2025, the lab won the Best Award in soccer and Excellence Awards in basketball and baseball
Keisuke Fujii received the Young Scientists' Award in the FY2025 Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology
Keisuke Fujii's book Machine Learning in Sports was published (open access)
At the Sports Data Science Competition 2024, the lab won Excellence Awards in soccer, basketball, and baseball
ResearchResearch themes
The lab studies how to handle complex time-series data, such as human body movement, with information processing technologies such as machine learning. Mainly using body movement data from sports, it aims to elucidate skillful movement and flexible teamwork, and to develop information technology that a wide range of people can use conveniently.
View More ↗MembersFaculty
- ProfessorKeisuke Fujii
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The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Bones Studio hala” Gabriela Cybulska / CC BY-SA 4.0 (cropped)
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