Open AccessClassification of movements based on wearable device data in biometric authentication
Author(s) -
A. V. Grecheneva,
Nikolay V. Dorofeev
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2094/3/032017
Subject(s) - computer science , biometrics , accelerometer , authentication (law) , wearable computer , stairs , biometric data , mobile phone , artificial intelligence , wearable technology , artificial neural network , computer security , embedded system , engineering , telecommunications , civil engineering , operating system
The paper proposes a neural network algorithm for classifying human movements according to the accelerometer data, which is located in a mobile device. Intelligent algorithms for classifying movement types (single step, walking, walking on stairs, running) are considered on 9 types of different movements that a person performs in everyday life. The developed algorithm is proposed to be used in biometric authentication systems based on mobile phone data.