Services-oriented architecture for motion sensing services

运动感测（mo-sensing）服务被定义为通过运动感测能力增强的手持控制台的自主单元，用于支持运动科学和生理学中的不同运动感测数据交换模式。这项拟议的研究计划将mo-sensing服务定义为一种丰富的存在。丰富存在被描述为存在感知的增强形式，其中服务或用户可以观察其他在线服务或用户属性，诸如个人可识别信息、位置、时间、行为、移动、软件类型、设备类型和网络类型。在一个长期的研究计划的背景下，这项研究计划的重点是支持不同的运动传感数据模式之间的互操作性和可扩展性的理论模型，从不同的运动传感服务与可扩展标记语言（XML）和面向服务的架构（SOA）。另一方面，本研究计划的主要短期目标是：（1）设计一个基于XML的领域规范语言（DSL）的运动传感数据;（2）建立一个基于SOA的工作流模型，以支持运动传感服务;和（3）演示一个说明性的运动生理系统中完成的模型。具体地，说明性运动生理学系统可以从工作流模型导出，该工作流模型允许：（1）提供交互式测量系统，该交互式测量系统监测运动员的位置并且利用将运动与运动员的理想化模式相匹配的分析来分析个体的运动;（2）从用于运动员的物理治疗的基于证据的框架导出;（3）当检查工具的运动使用模式时，为教练提供认知支持作为决策支持，同时还为使用该系统的运动员提供基于健康的教育干预;以及（4）保护使用该系统从运动员收集的健康护理信息的隐私和安全性，包括传送到临床设置用于分析的任何数据。这项研究计划的好处是研究和开发一个通用的工作流程模型，以支持新兴的运动传感在运动科学和生理学中的应用。

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.