Detection of gait disorders in people with a walking disability.

A person's gait is their walking pattern. Walking necessitates muscular coordination and balance for the body to move forward rhythmically. Gait disorder is an issue in human society that can limit a person's life activity as an injury. Proper and rapid diagnosis of this disorder can help the healing process. Therefore, several types of research have always been done to identify the disorder, based on which the physician can consider an appropriate treatment plan for the patients. In this study, a Kinect sensor that has the ability to identify 25 points of anatomical points of the body has been used to receive and record data, Using the Kinect sensor to monitor and control gait disorder is cheaper than other existing systems. Also, it offers a higher quality in recording activities and feedback, which can show the desired indicators more accurately about the patient's gait disorder. The proposed method is defined based on a Fuzzy inference system defined by a medical team consisting of Medical Doctor Orthopedic and medical doctors as experts in this system. We gather data from 90 participants as a data set and then divided it randomly into two groups, 45 participants for the Fuzzy inference system construction as training step and 45 participants for the Fuzzy inference system evaluation as a test step. The outputs of the Fuzzy system validation show that based on three-dimensional information, 7 extracted features and rules made in the Fuzzy inference system, the accuracy is 95.1%. [ABSTRACT FROM AUTHOR]