Services-oriented architecture for motion sensing services

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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.