Indoor localization in a hospital environment using Random Forest classifiers
A system able to localize patients in a hospital environment is proposed. The system relies on RFID technology and a combination of Random Forest classifiers. The system has been deployed in the emergency unit of a large Italian hospital. Accuracy, precision, complexity, robustness and scalability have been evaluated. Patients localization is correctly performed in 98% of cases.
indoor localization hospital random forest smart health emergency room