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Home care for the elders who live alone is considered in this research. We focus on the movements of the elders at home. The RFID technology is used to collect the movement data first. Active RFID tags are deployed in the home environment. The elder carries a reader that can detect the signals sent from the tags in real time. The collected signals give us the movements of the elder at home. Clustering...
In this research, we aim at building an intelligent system that can detect abnormal behavior for the elderly at home. Deployment of RFID tags at home helps us collect the daily movement data of the elderly. The clustering technique is then used to build a personalized model of normal behavior based on these RFID data. After the model is built, any incoming datum outside the model can be seen as abnormal...
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