| DC Field | Value | Language |
|---|
| dc.contributor.author | Zhang Yulong | - |
| dc.contributor.author | Rybak, V. A. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-08-16T06:46:43Z | - |
| dc.date.available | 2024-08-16T06:46:43Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.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. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/56937 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | wearable devices | en_US |
| dc.subject | detection method | en_US |
| dc.subject | image recognition | en_US |
| dc.title | Algorithms for recognizing people falling | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Информационные технологии и управление : материалы 60-й научной конференции аспирантов, магистрантов и студентов (2024)
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