抄録
In this paper, we propose the activity of daily living (ADL) flow-line evaluation system by performing a series of ADL recognition. First, we propose a estimation of the ADL flow-line by using Gantt Chart as a model; by setting the vertical axis of Gantt Chart as ADL and the horizontal axis as time, we can represent the sequence of ADLs of a resident in a day. Also, by arranging the ADL Gantt-charts of multiple persons, it is also possible to determine who was with whom, when, and where. This allows us to identify the route of infection. we also defined the IAS(Infectivity After Stay)function to represent residual time and integrate into the Gantt-chart. This makes it possible to calculate infections between people who are not in the same place at the same time. The proposed method is implemented by an RFID system, and an algorithm for determining the passage of area boundaries using RSSI and phase is developed to recognize the entry/exit of a place associated with an ADL. RFID antennas are installed at the boundary wall and the phase peak pattern is detected when the transit is occurred. Flow-line is composed by applying the shortest path algorithm to the sequence of transit information. To verify the effectiveness of the proposed method, we conducted experiments in a laboratory environment with six room by 4 scenarios simulating ADLs in an elderly care facility. We evaluated the flow line of one person activity and the flow lines of the 2-person activities of the caregiver and the cared-for person, the infected person and the uninfected person. To evaluate the accuracy of the flow line estimation, we defined a numerical evaluation method that includes the start and end times of movement and stay. We evaluated multiple flow line scenarios and obtained an average accuracy of 79%. We also confirmed that, by taking into account the residual infection time, we can detect, for example, infection at the toilet.
https://ror.org/02x73b849 
