Abstract
Advancements in science and technology have highlighted the importance of robust healthcare services, lifestyle services and personalized recommendations. For this purpose patient daily life activity recognition, profile information, and patient personal experience are required. In this research work we focus on the improvement in general health and life status of the elderly through the use of an innovative services to align dietary intake with daily life and health activity information. Dynamic provisioning of personalized healthcare and life-care services are based on the patient daily life activities recognized using smart phone. To achieve this, an ontology-based approach is proposed, where all the daily life activities and patient profile information are modeled in ontology. Then the semantic context is exploited with an inference mechanism that enables fine-grained situation analysis for personalized service recommendations. A generic system architecture is proposed that facilitates context information storage and exchange, profile information, and the newly recognized activities. The system exploits the patient’s situation using semantic inference and provides recommendations for appropriate nutrition and activity related services. The proposed system is extensively evaluated for the claims and for its dynamic nature. The experimental results are very encouraging and have shown better accuracy than the existing system. The proposed system has also performed better in terms of the system support for a dynamic knowledge-base and the personalized recommendations.
Highlights
It is a well-recognized fact that the effects of ageing are causing huge social and economic challenges
Smartphone has been used as the Pervasive Agent (PA)
The dynamic evolution of Rule-base helps in timely updates in the Rule-base, in addition, the rules generated become more compact
Summary
It is a well-recognized fact that the effects of ageing are causing huge social and economic challenges. In [19], the authors focused on real-time activities recognized using diverse sensors performed by patients and use these activities and domain knowledge represented in ontology for situation analysis with the help of experts designed rules. To facilitate achieving the objective of dynamic decision and service suggestions for diet based on patient activities and nutrition intake, the proposed approach of Social Wellness for Elderly (SWELL) is presented in this research. It is based around the improvement in general health status of the elderly through the use of an innovative service to align dietary intake with daily activities, promoted through a social network using contemporary Web 2.0 and semantic web technologies.
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