Study on smart care service for the aged based on context awareness

Abstract

In recent years, the trend of population aging brings great demand to the service industry for the aged. Meanwhile, the old-age service resources are relatively scarce, which has become an important issue in the development of society all over the world. In order to improve the service quality of the aged, smart care service based on context awareness was proposed in this paper. Firstly, environmental data, physical sign, voice and facial expression data of the aged are collected. And then affective computing and data mining methods were used to these data, so as to find out the demand of the aged and provide them with smart care service. Results show that this method can effectively help the aged.