SESAME: Sensing for Sport and Managed Exercise

SESENSOR联盟是一个新成立的多学科小组，旨在研究使用基于无线传感器的系统来提高被认为具有世界级潜力的精英运动员和年轻运动员的表现。该项目的目标是提高成绩，改善教练教育和推进体育科学。尽管特别关注体育运动，但技术方法及其解决方案将故意通用，以使其随后应用于更广泛的训练和医疗保健场景。目前，只有一套有限的传感技术可用于指导精英运动员，包括动作捕捉，固定力板和视频记录反馈。然而，它们经常干扰体育活动，并且它们返回的数据难以解释以提供适当的反馈。无线传感技术，从加速度计和磁力计到精确的定位系统，有能力通过提供有关肢体定位和方向、运动员位置、肌肉功能和生理状态的信息来彻底改变该领域，所有这些信息都是真实的。通过SEEARTH项目，动态数据将来自可穿戴的非侵入式传感器，并通过被动视频捕获进行增强。原始传感器数据将被处理，以提取有意义的信息，使用传感器融合和随机信号处理的组合，以获得对教练和运动员有意义的信息。这将发生在人体生物力学约束运动的知识，并将考虑到传感器连接机制和传感器错位引入的误差。生物力学和生理性能模型将通过捕获的传感器数据来获取信息，并从中捕获理想化的运动和偏差的性能影响。如果教练员和运动员要从SEEFL中获得真实的好处，对人为因素的全面研究是必不可少的。民族志研究将与教练一起进行-以建立专业领域的特定知识，捕捉他们的认知模型的性能，并协助设计用户界面。对教练和运动员的反馈将采用两种形式：（i）图形，既作为经过处理以尊重教练认知模型的数据流，也通过将传感器数据覆盖在视频上;（ii）如果可行，作为实时反馈：例如使用蜂鸣器。对运动员表现的分析不仅是一项实时活动：还将保留传感器数据、决策支持建议、医疗建议和任何临床事件的明确记录，允许用户考虑相关的医疗输入。这种方法还允许对运动员进行比较研究，并挖掘这些信息，以改善生物性能模型，并了解偏离理想状态和损伤前兆的影响。这项工作的重点将是跑步-特别是短跑。然而，考虑到2012年奥运会对国家的重要性，我们还将探索将该技术用于其他体育学科、更普遍的锻炼形式和受伤后的康复的可能性。如果时间允许，还将探索更广泛的应用，如脑瘫患者的步态分析。从无线传感器网络的角度来看，运动训练是一个要求很高的应用领域，有必要开发和集成新的传感器，QoS驱动的实时网络和系统自动配置，所有这些都使用可扩展的通用软件基础设施。因此，解决这一具有挑战性的领域的问题将提供一个必要的构建块的解决方案，更普遍的问题，无处不在的和感知computing.The SEESTIC联盟包含的专业知识的混合是必不可少的进展部署在这个领域的技术。

The SESAME consortium is a newly-formed multidisciplinary group that proposes to investigate the use of wireless sensor-based systems in enhancing the performance of elite athletes and young athletes who have been identified as having world class potential. The project has goals of enhancing performance, improving coach education, and advancing sports science. Despite a specific focus on athletics, the technical approach and its solutions will be deliberately generic, to enable their subsequent application to a wider range of training and healthcare scenarios. At present, only a limited set of sensing technologies are available for the coaching of elite athletes, including motion capture, fixed force plates and video recording for feedback. However, they often disrupt the sporting activity and the data they return are difficult to interpret to provide appropriate feedback. Wireless sensing technologies, ranging from accelerometry and magnetometry through to accurate positioning systems, have the capacity to revolutionise the field, by providing information about limb positioning and orientation, athlete location, muscular function, and physiological status, all in real time. Through the SESAME project, dynamic data will come from wearable non-intrusive sensors, augmented by passive video capture. Raw sensor data will be processed to extract meaningful information using a combination of sensor fusion and stochastic signal processing to derive information that is meaningful to coaches and athletes. This will take place in the knowledge that human biomechanics constrains movement and will take account of errors introduced by sensor attachment mechanisms and sensor mispositioning. Biomechanical and physiological performance models will be informed by captured sensor data, and from them idealised movements and the performance effects of deviations will be captured. A comprehensive study of human factors is essential if coaches and athletes are to derive real benefit from SESAME. Ethnographic studies will be undertaken with coaches - to build expert domain-specific knowledge, to capture their cognitive models of performance, and to assist in the design of user interfaces. Feedback to coaches and athletes will be in two forms: (i) graphical, both as a data stream that has been processed to respect the coaches' cognitive models and by overlaying sensor data on video; (ii) as real-time feedback if feasible: e.g. using buzzers. Analysis of an athlete's performance is not only a real-time activity: a definitive record of sensor data, decision support recommendations, medical advice and any clinical events will be maintained, allowing users to take account of relevant medical inputs. Such an approach also allows for comparative studies between athletes and the mining of such information both to improve biological performance models and to understand the effect of deviation from the ideal and precursors to injury. The focus of the work will be on running - specifically sprinting. However, given the national importance of the 2012 Olympic Games we will also explore the possibility of using the technology in other athletic disciplines, more general forms of exercise, and rehabilitation following injury. Should time permit, wider applications such as gait analysis for cerebral palsy patients will also be explored. Athletic training is a highly demanding application domain from the viewpoint of wireless sensor networking / it is necessary to develop and integrate novel sensors, QoS-driven real-time networking, and system autoconfiguration, all using an extensible generic software infrastructure. Consequently, solving problems in this challenging domain will provide a necessary building block for the solution of more generic problems in ubiquitous and sentient computing.The SESAME consortium contains a blend of expertise that is essential for progress in deploying technology in this domain.