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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/56937
Title: Algorithms for recognizing people falling
Authors: Zhang Yulong
Rybak, V. A.
Keywords: материалы конференций;wearable devices;detection method;image recognition
Issue Date: 2024
Publisher: БГУИР
Citation: Zhang Yulong. Algorithms for recognizing people falling / Zhang Yulong, V. A. Rybak // Информационные технологии и управление : материалы 60-ой научной конференции аспирантов, магистрантов и студентов, Минск, 22–26 апреля 2024 года / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск, 2024. – С. 43.
Abstract: In this article, several known fall detection algorithms are introduced, including the detection method based on wearable devices, the detection method based on distributed environmental parameter collection, and the fall detection method based on image recognition, and analyze their advantages and disadvantages.
URI: https://libeldoc.bsuir.by/handle/123456789/56937
Appears in Collections:Информационные технологии и управление : материалы 60-й научной конференции аспирантов, магистрантов и студентов (2024)

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