Smart predictive analytics care monitoring model based on multi sensor IoT system: Management of diaper and attitude for the bedridden elderly

In this paper, we propose a multi-sensor IoT system-based smart predictive analytics care and movement monitoring model that can be applied to various diapers and solve these problems for the bedridden elderly. A multi-sensor is designed to monitor the condition of the diaper and the movement of the bedridden elderly, in addition, to know the use condition of the diaper and the attitude of the bedridden elderly. In addition, through the changed pattern of the time series data acquired from the multi-sensor, a model that can know not only the presence or absence of urine/feces/farts but also the attitude of bedridden people is constructed and compared to this, it detects urine/feces/farts, care sensing to know the diaper usage status and the bedridden elderly's attitude duration. We propose smart predictive analytics care monitoring model based on multi sensor IoT system: management of diaper and attitude for the bedridden elderly. The design and proposed method are tested and the results are derived through an accredited certification body for an objective evaluation method.