Abstract
Research on smart homes (SHs) has increased significantly in recent years because of the convenience provided by having an assisted living environment. The functions of SHs as mentioned in previous studies, particularly safety services, are seldom discussed or mentioned. Thus, this study proposes a semantic approach with decision support for safety service in SH management. The focus of this contribution is to explore a context awareness and reasoning approach for risk recognition in SH that enables the proper decision support for flexible safety service provision. The framework of SH based on a wireless sensor network is described from the perspective of neighbourhood management. This approach is based on the integration of semantic knowledge in which a reasoner can make decisions about risk recognition and safety service. We present a management ontology for a SH and relevant monitoring contextual information, which considers its suitability in a pervasive computing environment and is service-oriented. We also propose a rule-based reasoning method to provide decision support through reasoning techniques and context-awareness. A system prototype is developed to evaluate the feasibility, time response and extendibility of the approach. The evaluation of our approach shows that it is more effective in daily risk event recognition. The decisions for service provision are shown to be accurate.
Highlights
An increasing number of smart equipment has been used in homes to provide assistance with daily living activities
The steps shows how the ontology is combined with Semantic Web Rule Language (SWRL) to process reasoning and make service decisions
The results show that the total execution time is not too long sufficient for safety decision support when the number of processed events is not high, which is and sufficient for safety decision support when the number of processed events is not high, which is suitable for a small neighbourhood
Summary
An increasing number of smart equipment has been used in homes to provide assistance with daily living activities. By monitoring environmental changes and the activities of inhabitants, an assistive system in an SH can process sensor data, infer the needs of an inhabitant and take appropriate actions to help the inhabitant perform daily living activities [2] For this purpose, taking advantage of the latest SH technologies, studies about context-aware reasoning such as recognition of Activities of Daily Living (ADL) or service provision for some specific purposes (such as disable help) are being developed to enhance their quality of life. A flexible solution that enables SHs to process a risk situation and provide decision support for safety assistance service incorporating complex and dynamic rules is necessary.
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