We have proposed a method for estimating the flow volume and flow rates from the streakline images based on the multi-cylindrical model. This approach provides the flow volume by integrating the flow rates calculated from liquid trajectories in images taken liquid immediately after urination in the air. Thus, the subject can measure the urine volume with high accuracy under a normal urination behavior. Our method can be applied to both the male urinal and the western-style toilet stool. The measurement accuracy of our method compared to other sensors has been raised to a feasible level depending on the ingenuity. In this manner, life log data to be recorded in the toilet have potential for one of the important indicators in healthcare. Here, we show remaining problems to be solved by introducing advantages and disadvantages of our method when it was applied to urine volume estimation.
