Bed-Exit Prediction Applying Neural Network Combining Bed Position Detection and Patient Posture Estimation.

The work of a nurse involves tasks that can lead to serious accidents with a single mistake or miss, and thus nurses are exposed to high stress. In particular, injections, pre-medications, tube connections, and falling are factors that lead to serious accidents and are considered a major part of the load of nursing work. To reduce the burden of nursing work, we are working on developing a sensing system to prevent fall accidents. Because fall accidents tend to occur when elderly people, whose lower limb muscle strength has declined, go to the toilet, we use a camera image to detect the end position, which is the initial posture of the patient's landing movement. In this study, we detected the sitting position of the patient by combining the detection result of the skeletal position of the patient and the detection result of the bed position. A simulation environment was constructed and the estimation accuracy of the end sitting position of the patient was evaluated using the image captured at the scene where the patient and the nurse are active.