title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð´ÐµÑÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½Ð¾Ð³Ð¾ ÑÑÑÑÐ¾Ð¹ÑÑÐ²Ð° Ð² Ð°Ð²ÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»Ðµ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð°ÐºÑÐµÐ»ÐµÑÐ¾Ð¼ÐµÑÑÐ° Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½Ð¾Ð³Ð¾ ÑÑÑÑÐ¾Ð¹ÑÑÐ²Ð°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of an algorithm for mobile device usage recognition with mobile device accelerometer data
Creators: name: Ð¡ÑÑÐ¾ÐµÐ²Ð°, ÐÐ»ÑÐ³Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÐµÐ»ÐµÑÐ¾Ð½Ð°
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ ÑÐ°Ð±Ð»Ð¾Ð½Ð¾Ð²
ÐºÐ²Ð°ÑÐµÑÐ½Ð¸Ð¾Ð½
Ð°ÐºÑÐµÐ»ÐµÑÐ¾Ð¼ÐµÑÑ
Ð¼ÐµÑÐ¾Ð´ Ð¾Ð¿Ð¾ÑÐ½ÑÑ Ð²ÐµÐºÑÐ¾ÑÐ¾Ð²
phone usage
pattern recognition
quaternion
accelerometer
support vector machine

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description: The subject of the graduate qualification work is âDevelopment of an algorithm for mobile device usage recognition with mobile device accelerometer dataâ. The presented work id devoted to development and analysis algorithm for mobile device usage recognition with mobile device accelerometer data. The following tasks were solved in scope of the work: Definition of approach for development of an algorithm for mobile device usage recognition with mobile device accelerometer data. Development of an algorithm for mobile device usage recognition with mobile device accelerometer dataImplement software module for development of an algorithm for mobile device usage recognition with mobile device accelerometer data. Quality assessment mobile device usage recognition with mobile device accelerometer data. The transition from actual accelerometer data to quaternions was fulfilled to eliminate the influence of absolute position of the mobile device. The result of the work is the developed algorithm for mobile device usage recognition with mobile device accelerometer data. Moreover the algorithm was also tested and evaluated on real car trips.