Multimodal Machine Learning for Motion Analysis in Sports Science
Multimodal Machine Learning for Motion Analysis in Sports Science
批准号:
10011398
负责人:
金额:
$3.43万
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --
中文摘要
这个项目为体育科学中的运动分析提供了一种革命性的新方法。使用最新的多模式机器学习技术,结合电子硬件的最新进展,我们发现了一个机会,可以以当前市场领先者的一小部分成本生产市场领先的产品。我们有证据表明,对我们的产品有巨大的需求拉动,最终用户对提供价值、便利和质量的新解决方案有着强烈的兴趣。我们的团队包括来自体育界的领先技术人员和思想领袖,他们以前的成就得到了国际认可。6个月的项目将包括实验室测试,确保我们达到市场开发所需的技术质量门槛。一个行业利益相关者小组(包括主要教练、媒体代表和最终用户)将帮助指导产出并解决主流使用的障碍,以便在两年内加快市场采用。最终,该项目的结果将是将我们的解决方案转变为可行的商业主张,为英国经济提供一系列好处,并具有向全球市场大幅扩张的额外潜力。
英文摘要
This project presents a revolutionary new approach for motion analysis within sports science.Using latest multimodal machine learning techniques, in combination with the most recent advances in electronics hardware, we have identified an opportunity to produce a market leading product at a fraction of the cost of the current market leaders.We have evidence of significant demand pull for our product, with a strong appetite from end-users for a new solution offering value, convenience and quality.Our team comprises leading technologists and thought leaders from the world of sport, internationally recognised for their prior achievements.The 6 month project will include laboratory testing, ensuring we achieve the technical quality thresholds required for market uptake. An industry stakeholder group (including leading coaches, media representatives and end-users) will help guide outputs and address barriers to mainstream use, in order expedite market adoption within 2 years.Ultimately, the outcome of this project will be a transformation of our solution into a viable commercial proposition, providing a range of benefits to the UK economy, with the additional potential of significant expansion into global markets.
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国内基金
海外基金
Understanding structural evolution of galaxies with machine learning
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批准号:
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项目类别:省市级项目
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资助金额:10.0万元
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批准年份:2022
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负责人:Nicola Rosario Napolitano
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依托单位: