Grant: Discovery Grants Program - Individual
University of Ontario Institute of Technology
$20,000.00
Services-oriented architecture for motion sensing services
FY 2012-13
Summary
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.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
312199-2010
Name nom
Hung, Patrick
Department département
Business and Information Technology, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2012
Competition year année de concours
2010
Award amount
20000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2710
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information systems design
Research subject fr
Conception de systèmes d'information
Partie
3
Nb partie
5
Application title
Services-oriented architecture for motion sensing services
Keyword
NSERC
Application summary
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.
