A Method for Predicting Sudden/Cyclic Stress Using Vital Data and the Realization of a Tracking Mental Management Robot

In this paper, we present an estimation method of stress levels using heart rate variability parameters of vital data. In recent years, there has been much attention paid to the improvement of depression and other problems by therapy robots. In our method, the user registers his/her schedule, time, and expected stress labels in a dedicated smartphone application. The system calculates the stress levels from the content of the schedule and ECG data. The system estimates the stress levels due to the schedule. The implementation of our method makes it possible to estimate the stress levels from the schedule in advance. In addition, this paper uses a robot to represent the relief of sudden stress as an application of this method. By implementing this application, the user can know in advance which schedules he/she will experience stress and can act accordingly, and the robot can provide stress care.