Advances in Winter Sports and Data Science
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 42
Special Issue Editors
Interests: winter sport; sport Informatics; curling informatics; tourism informatics; knowledge engineering; computation for figurative descriptions
Interests: robotics and intelligent system; intelligent mechanics/mechanical systems
Special Issue Information
Dear Colleagues,
We invite submissions to our Special Issue, which focusing on how data-driven technologies are transforming performance, strategy, and innovation in winter sports such as curling and alpine skiing.
Advances in data science, AI, and sensor technology are enabling new approaches to training, performance monitoring, tactical support, and equipment design. This Special Issue aims to showcase interdisciplinary research and practical developments at the intersection of computational science and winter athletics.
We welcome original research articles, technical reports, and applied studies addressing the following themes:
- Theme 1: Performance and Strategy Optimization through Data Science
Contributions may include player/team analytics, predictive modeling, tactical simulations, or real-time data processing for winter sports.
- Theme 2: Software-Based Tools for Motion Analysis and Skill Assessment
We seek studies on motion capture, video analysis systems, feedback-based training tools, and software for athlete evaluation.
- Theme 3: Smart Systems and Innovative Sport Environments
Topics include IoT-based monitoring, AR/VR coaching tools, edge computing applications, and smart venue technologies.
- Theme 4: New Technology in Winter Sports
We encourage submissions on 3D CAD in equipment design, embedded sensors, material optimization, and other engineering innovations for sports performance.
This Special Issue targets researchers and practitioners in sports science, data science, information engineering, and mechanical design. Studies should demonstrate clear contributions to the advancement of winter sports through data-oriented methods or systems.
Dr. Fumito Masui
Prof. Dr. Takashi Kawamura
Prof. Dr. Yoshinari Takegawa
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- winter sports
- curling
- alpine skiing
- data science
- performance analytics
- AI
- sensor systems
- 3D modeling
- training support
- smart systems
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