Services-oriented architecture for motion sensing services

运动传感（mo-sensing）服务被定义为通过运动传感能力增强的手持控制台的自治单元，用于支持运动科学和生理学中不同的运动传感数据交换模式。本研究计划将mo传感服务定义为一种丰富的存在。富存在被描述为一种增强的存在意识形式，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。在一项长期研究计划的背景下，该研究计划的重点是通过可扩展标记语言（XML）和面向服务的体系结构（SOA）支持来自不同mo-sensing服务的不同体感数据模式之间的互操作性和可扩展性的理论模型。另一方面，本研究计划的主要短期目标是：(1)为体感数据设计一种基于xml的领域规范语言（DSL）；(2)构建基于SOA的工作流模型，支持mo-sensing服务；(3)在一个说明性的运动生理学系统中对完成的模型进行了演示。具体地说，该说述性运动生理学系统可以从允许的工作流模型中派生出来：(1)提供一种交互式测量系统，该系统监测运动员的位置，并通过将运动与运动员的理想模式相匹配的分析来分析个人的运动；(2)来源于运动员物理治疗的循证框架；(3)在检查该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，同时也可与使用该系统的运动员的基于健康的教育干预相关联；(4)保护使用该系统收集的运动员医疗信息的隐私和安全，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程模型，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.