Sports Body Sensor Networks (Sports-BSN)

运动身体传感器网络（Sports-BSN）

• 批准号: EP/E044298/1
• 负责人: Guang-Zhong Yang
• 金额: $ 20.75万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2007
• 资助国家: 英国
• 起止时间: 2007 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FE044298%2F1
• 关键词: Sports; Body; Sensor; Networks; BSN

With the rapid advances in sports technologies, athletes and sports coaches are constantly searching for improved performance assessment methods. Whilst athletic performances continue to improve, accurate training prescription and feedback is important to the consistency of the training outcome and maintaining the performance margin. To maximise the potential of UK athletes at future Olympics, Olympic Winter Games, and Paralympics, there is a pressing need to exploit the latest technical advances in sensing, materials, aerodynamics, biomechanics, and performance equipment design. In supporting the quest for gold in the London Olympics and Paralympics in 2012, UK Sports and EPSRC have identified a range of engineering and physical sciences disciplines that through the interaction with the sports community can generate innovative training solutions and sports equipment designs for gaining competitive advantage of the UK athletes. Such a synergy brings the opportunity not just to ensure success at the Games themselves, but to provide a sporting legacy that will underpin the long-term health and success of sport in this country. The purpose of this proposal is to investigate the use of miniaturised wireless Body Sensor Networks (BSN) for providing real-time feedback and in situ analysis of the biomechanical indices of the athletes during training. It is a feasibility project aimed at addressing the technical requirement of Sports-BSN hardware design, miniaturisation, packaging, as well as real-time data processing, sensor fusion, and data visualisation issues. The project brings together an interdisciplinary team from the Department of Computing at Imperial College London, UK Sport and nominated technical expertise working within the elite sport network (Dr Aki Salo, UK Athletics Speed specialist currently based at University of Bath).

随着体育技术的飞速发展，运动员和教练员都在不断地寻找改进的成绩评估方法。虽然运动成绩不断提高，但准确的训练处方和反馈对于训练结果的一致性和保持性能裕度非常重要。为了最大限度地发挥英国运动员在未来奥运会，冬季奥运会和残奥会上的潜力，迫切需要利用传感，材料，空气动力学，生物力学和性能设备设计方面的最新技术进步。为了支持2012年伦敦奥运会和残奥会的金牌争夺，英国体育和EPSRC已经确定了一系列工程和物理科学学科，通过与体育界的互动，可以产生创新的训练解决方案和体育设备设计，以获得英国运动员的竞争优势。这样的协同作用不仅为确保奥运会本身的成功带来了机会，而且还提供了一个体育遗产，这将支撑这个国家体育的长期健康和成功。本建议的目的是调查使用的无线身体传感器网络（BSN）提供实时反馈和现场分析的运动员在训练过程中的生物力学指标。这是一个可行性项目，旨在解决Sports-BSN硬件设计、封装、包装以及实时数据处理、传感器融合和数据可视化问题的技术要求。该项目汇集了来自英国体育学院伦敦帝国理工学院计算机系的跨学科团队和精英体育网络内工作的提名技术专业知识（目前在巴斯大学工作的英国田径速度专家阿基·萨洛博士）。

项目成果

Validation of an ear-worn sensor for gait monitoring using a force-plate instrumented treadmill.

• DOI: 10.1016/j.gaitpost.2011.11.021
• 发表时间: 2012-04
• 期刊: GAIT & POSTURE
• 影响因子: 2.4
• 作者: Atallah, Louis;Wiik, Anatole;Jones, Gareth G.;Lo, Benny;Cobb, Justin P.;Amis, Andrew;Yang, Guang-Zhong
• 通讯作者: Yang, Guang-Zhong

Distributed inferencing with ambient and wearable sensors

使用环境和可穿戴传感器进行分布式推理

• DOI: 10.1002/wcm.893
• 发表时间: 2011
• 期刊: Wireless Communications and Mobile Computing
• 作者: Atallah L