Stolyarov A.Yu. Determination of the Uniqueness of Human Gait Using Inertial Sensors of Portable Device

http://dx.doi.org/10.15688/jvolsu1.2015.1.5

Stolyarov Alеxandеr Yuryеvich

Postgraduate Student, Department of Computer Science and Experimental Mathematics, Volgograd State University
This email address is being protected from spambots. You need JavaScript enabled to view it. , This email address is being protected from spambots. You need JavaScript enabled to view it.
Prosp. Universitetsky, 100, 400062 Volgograd, Russian Federation

Abstract. 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.

Key words: human gait, accelerometer, gyroscope, rotation rate, proper acceleration, low-pass filter, identification by gait.

Creative Commons License
Determination of the Uniqueness of Human Gait Using Inertial Sensors of Portable Device by Stolyarov A.Yu. is licensed under a Creative Commons Attribution 4.0 International License.

Citation in English: Science Journal of Volgograd State University. Mathematics. Physics. №1 (26) 2015 pp. 41-47

Attachments:
Download this file (Stolyarov.pdf) Stolyarov.pdf
URL: https://mp.jvolsu.com/index.php/en/component/attachments/download/379
936 Downloads