Biometric identification of a person by gait
https://doi.org/10.21822/2073-6185-2026-53-2-81-87
Abstract
Objective. The aim of the study is to develop technologies and methods for biometric identification and authentication based on behavioral biometric characteristics (gait characteristics, hand gestures), ensuring higher accuracy, security, and convenience.
Method. The study is based on instrumental analysis methods and the cross-correlation method for assessing the degree of similarity of two signals at various time shifts.
Result. An algorithm for biometric identification of a person by gait is presented. The use of the presented algorithm allows for normalization and filtering of data to remove noise, as well as subsequent identification of unique characteristics of the user's movements. The use of an accelerometer and gyroscope for collecting accurate data and recording spatiotemporal parameters of steps in real time is proposed.
Conclusion. Practical implementation of the algorithm requires an integrated approach, including both hardware and methods for signal processing and data analysis.
About the Authors
D. A. Elizarov
Omsk State Transport University
Russian Federation
Russian Federation
Dmitry A. Elizarov, Cand. Sci. (Eng.), Assoc. Prof., Assoc. Prof., Department «Information security»
35 Marx Ave., Omsk 644046
A. S. Okishev
Omsk State Transport University
Russian Federation
Russian Federation
Andrey S. Okishev, Cand. Sci. (Eng.), Assoc. Prof., Department «Information security»
35 Marx Ave., Omsk 644046
D. V. Korolevskiy
Omsk State Transport University
Russian Federation
Russian Federation
Danil V. Korolevskiy, Student, Department of Information Security
35 Marx Ave., Omsk 644046
References
1. On the Issue of Ensuring Secure Access to Information Systems Using Biometric Authentication Based on a Fuzzy Image of the User's Identity and Neural Network Transformations. O.I. Bokova, S.V. Kanavin, N.S. Khokhlov[et al.] Herald of Daghestan State Technical University. Technical Sciences. 2023;50(4):75-84.
2. Using Biometric Data to Protect Information. K.N. Vlasov, O.V. Tolstykh, O.V. Isaev. Herald of Daghestan State Technical University. Technical Sciences. 2023;50(3):46-56.
3. Derawi Mohammad Omar. Smartphones and Biometrics: Gait and Activity Recognition. – Access mode: https://ntnuopen.ntnu.no/ntnu-xmlui/handle/11250/144368 (date accessed: 05.10.2025).
4. https://www.researchgate.net/publication/42803321_Biometric_Gait_Authentication_Using_Accelerometer_SensorBiometricGaitAuthenticationUsingAccelerometerSensor. Gafurov D., Helkala Kirsi, Søndrol Torkjel. Journal of Computers. 2006. – Text: electronic. (date accessed: 05.10.2025).
5. Gesture recognition using mobile phone’s inertial sensors. – Access mode: https://oa.upm.es/20952/1/INVE_MEM_2012_132738.pdf (date accessed: 05.10.2025).
6. https://www.researchgate.net/publication/357278802_Human_Activity_Recognition_Using_Smartphone_SensorsHumanActivityRecognitionUsingSmartphoneSensors. (date accessed: 07.10.2025).
7. Korolevskiy D.V. Human Identification by Gait. Collection of selected articles of the scientific session of TUSUR. 2024;1-3:111-114.
8. Personalized Emotion Detection from Floor Vibrations Induced by Footsteps. Available at: https://arxiv.org/abs/2503.04190. (Accessed: 07.10.2025).
9. Estimation of human walking parameters using two accelerometers / Kataev M.Yu., Kataeva N.G., Chernov R.A. TUSUR Reports. 2021;2: 51-55.
10. Ekinci. Human Identification Using Gait. https://journals.tubitak.gov.tr/elektrik/vol14/iss2/5/(Accessed: 05.10.2025).
Review
For citations:
Elizarov D.A., Okishev A.S., Korolevskiy D.V. Biometric identification of a person by gait. Herald of Dagestan State Technical University. Technical Sciences. 2026;53(2):81-87. (In Russ.) https://doi.org/10.21822/2073-6185-2026-53-2-81-87
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