Determination of the uniqueness of human gait using inertial sensors of portable device

The article demonstrates the uniqueness of human gait based on data from inertial sensors of portable device. The assumption of the possibility of developing a gait model for every human, which consists of a series of patterns of different states of human movement: walking, running, climbing stairs, was made. Then a number of software was developed. The first program receives measurements from inertial sensors on mobile devices with the Android operating system, processes the data using a low-pass filter and stores them in the device file system. The second program processes the data from the stored files, produces their segmentation and visualizes in graphs. To confirm our assumption, an experiment was conducted using the developed programs. 10 people participated in the experiment. The obtained experimental data are periodical and different for every human. During data analysis, it was also observed that the rotation rate around the axis of the device (gyroscope data) demonstrates the difference between human gaits better than the proper acceleration (accelerometer data). The results of the experiment prove the possibility of creating a template of human walking and allow us to continue research in this direction.