Detection of Behavioral States Based on Sensor Data Using Machine Learning

Abstract
The presented work is dedicated to question classifications behavioral states participants based on analysis multimodal data from sensors. This study was implemented within the framework of a specialized English-language Python programming course. A feature teaching was full integration technical English languages in education process: from study documentation machine learning libraries for communication with teachers and colleagues exclusively in English in the language for discussion architecture models and results experiments.
Description
Keywords
SOCIAL SCIENCES::Social sciences::Education, HUMANITIES and RELIGION::Languages and linguistics, SOCIAL SCIENCES::Statistics, computer and systems science::Informatics, computer and systems science, SOCIAL SCIENCES::Statistics, computer and systems science::Informatics, computer and systems science::Information and language technology
Citation
Levchenko S.S., Ivanova I.V. Detection of Behavioral States Based on Sensor Data Using Machine Learning. Матеріали ХVІІI Всеукраїнської науково-практичної конференції «Тенденції розвитку ІТ-технологій в Україні»: збірник наукових праць. Черкаси, 2026. С. 51-52