An Activity Ontology for Context-Aware Health Promotion Application

Abstract

The next generation of health promotion services should consider to retrieve the context data from the wireless sensor network that around user's current environment. The aim of this study was to apply the environmental sensorial data as input and to predict user requirement in the context through analyze the collected data. To do so, the study followed the approach of user-centered design and applied the activity theory as a theoretical framework to introduce an activity-based open platform for recognizing and supporting the relatied activities of health promotion. Specifically, the study introduced a data processing method for analyzing the context-awareness data by using an activity-based ontology technology. The detail of the proposed model includes the activity ontology, data processing, activity model, and use scenarios will be introduced.