Abstract
This paper deals with developing a method for classifying people based on data collected through their gait patterns. This paper presents a biometric user authentication based on a person’s gait. This approach uses the accelerometer for capturing raw data to be evaluated on a machine learning model for identifying the person and various algorithms are used so as to obtain the highest precision.
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Kumar, V., Gupta, C., Agarwal, V. (2019). Gait-Based Authentication System. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 755. Springer, Singapore. https://doi.org/10.1007/978-981-13-1951-8_61
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DOI: https://doi.org/10.1007/978-981-13-1951-8_61
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