抄録
In this study, we estimate the location of caregivers by investigating the signal patterns of detected beacons in different rooms and applying relabeling. Tracking the rooms visited by caregivers is useful to monitor patient and staff assistance. Estimating the visited rooms through the detection of beacons is affected by signal loss resulting in less data. In this study, we investigate the signal patterns in different rooms as the basis for relabeling to use the Received Signal Strength Indicator (RSSI) values from one location as the sample in another location to increase the training set and improve the model accuracy. RSSI-based features are extracted from augmented signal and Random Forest is used for location recognition. Beacon devices were installed in a nursing facility with a frequency setting of 10hz within 5 meters of coverage. The data was collected for 5 days. FonLog, a mobile application is installed in the phone carried by staff in the pocket which is used to gather RSSI readings and log location labels. Training data with increased samples from relabeling based on signal patterns of two rooms achieved an accuracy of 74% which is 5% higher than the performance of the original data.
https://ror.org/02278tr80 
