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Graph-Based Semi-Supervised Learning for Activity Labeling in Health Smart Home
Health Smart Home (HSH) is an important part of smart city. This technology provides a new kind of remote medical treatment, and can effectively alleviate the shortage of medical resources caused by aging population and help elderly people live at home more safely and independently. Activity recognition is the core of Health Smart Home. However, constructing activity recognition models usually requires a large amount of labeled data, which imposes a heavy burden on manual labeling. In thisdoi:10.1109/access.2020.3033589 fatcat:z7fou2i7ezdajowdonuvstfoiy