Fuzzy estimation system on gait independence level by footprint dynamics

This paper describes a fuzzy estimation system on gait independence level by footprint dynamics. We use a load distribution sensor and obtain a sole pressure distribution from ten inpatients. From that date, we extract feature values of gait. We make fuzzy membership functions from those values and calculate fuzzy degree for each feature value. We calculate fuzzy degree of gait as the sum of what multiplied fuzzy degree for each feature value to the coefficient. Furthermore, we estimate the gait independence level from fuzzy degree of gait by setting a threshold. In the result, we could separate inpatients for each gait independence level exactly except two cases. The result of this research suggests that we have to consider not only the physical state but also the psychological state and so on.