Services-oriented architecture for motion sensing services

运动感知服务是指在运动科学和生理学中，通过增强运动感知能力来支持不同的运动感知数据交换模式的手持控制台的自治单元。这项拟议的研究计划将移动传感服务定义为一种丰富的存在类型。丰富的在线状态被描述为增强的在线状态感知形式，其中服务或用户可以观察其他在线服务或用户属性，例如个人可识别信息、位置、时间、行为、移动、软件类型、设备类型和网络类型。在长期研究计划的背景下，本研究计划关注支持来自不同移动感知服务的不同运动感知数据模式之间的互操作性和可伸缩性的理论模型，该模型使用可扩展标记语言(XML)和面向服务的体系结构(SOA)。另一方面，该研究计划的主要短期目标是：(1)设计一个基于XML的运动感知数据领域规范语言(DSL)；(2)建立一个基于SOA的支持运动感知服务的工作流模型；(3)在一个说明性的运动生理学系统中展示完成的模型。具体地说，说明性的运动生理学系统可以从工作流模型中得到，该工作流模型允许：(1)提供交互式测量系统，该系统监视运动员的位置并利用将动作与运动员的理想化模式匹配的分析来分析个体的动作；(2)从基于证据的运动员物理治疗框架中得到；(3)在检查该工具的运动使用模式时为教练员提供认知支持作为决策支持，同时还可以链接到使用该系统的运动员的基于健康的教育干预；以及(4)保护使用该系统从运动员那里收集的医疗保健信息的隐私和安全，包括传输到临床环境进行分析的任何数据。这项研究计划的好处是研究和开发一个通用的工作流模型，以支持运动科学和生理学中新兴的运动传感应用。

A motion sensing (mo-sensing) service is defined as an autonomous unit of handheld console enhanced by motion sensing capability for supporting different motion sensing data exchange patterns in sports science and physiology. This proposed research program defines mo-sensing services as a type of rich presence. Rich presence is described as an enhanced form of presence awareness in which a service or user can observe other online service or user attributes, such as personal identifiable information, location, time, behaviour, movement, type-of-software, type-of-device, and type-of-network. In the context of a long term research program, this research program focuses on the theoretical model for supporting interoperability and scalability between different motion sensing data schemas from different mo-sensing services with eXtensible Markup Language (XML) and Services-Oriented Architecture (SOA). On the other hand, the major short-term objectives of this proposed research program are to: (1) design a XML-based Domain Specification Language (DSL) for motion sensing data; (2) build a workflow model based on SOA for supporting mo-sensing services; and (3) demonstrate the completed model in an illustrative sports physiology system. In particular, the illustrative sports physiology system can be derived from the workflow model that allows: (1) provide an interactive measurement system that monitors an athlete's position and analyzes the individual's movements with analyses that match the movements to idealized patterns for the athlete; (2) is derived from evidence-based frameworks for physiotherapy of athletes; (3) provides cognitive support for coaches as a decision support when examining sport usage patterns of the tool while also being linkable to wellness-based educational interventions for athletes using the system; and (4) protects privacy and security of healthcare information collected from athletes using the system, including any data transferred to clinical settings for analysis. The benefits from this research program to research and develop a generic workflow model to support the emerging motion sensing applications in sports science and physiology.