Authors:
Florent Bourgeois
1
;
Philippe Studer
2
;
Bernard Thirion
2
and
Jean-Marc Perronne
2
Affiliations:
1
Université de Haute Alsace and Actimage GmbH, France
;
2
Université de Haute Alsace, France
Keyword(s):
Metrology, Measuring Process, Mobile Measurement Applications, Development Platform.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cross-Feeding between Data and Software Engineering
;
Distributed and Mobile Software Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Model-Driven Engineering
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Requirements Elicitation and Specification
;
Software Engineering
;
Software Engineering Methods and Techniques
Abstract:
Mobile platforms, such as smartphones, are now embedding more processing and communication capabilities
than ever. They offer generally a set of standard built-in sensors to measure their surroundings and potentially
increase their knowledge about the environment. Moreover their communication capabilities allow easy access
to external devices and remotely accessible sensing nodes or more general services. Nevertheless, despite their
obvious ability to provide rich data visualization, only a few applications propose using mobile platforms as
a flexible and user-friendly measuring process assistant. This paper proposes the description of a system able
to model and design mobile and well-founded domain specific measuring processes, supporting physical as
well as non-physical quantities. The soundness of the application and its conformance to metrology rules is
ensured through the use of quantities semantic, dimensional analysis and adherence to the representational
theory of measurement
. The conformance verification gives to non-metrology specialists the ability to design
and configure rigorous mobile applications dedicated to assist an end-user in its usual and specific measuring
needs and habits, while limiting erroneous results due to manipulation errors.
(More)