| dc.contributor.author | Li, Hao | ru |
| dc.contributor.author | Kaiyu, Wang | ru |
| dc.contributor.author | Jun, Ma | ru |
| dc.contributor.author | Xunhuan, Ren | ru |
| dc.coverage.spatial | Минск | ru |
| dc.date.accessioned | 2024-01-23T11:03:51Z | |
| dc.date.available | 2024-01-23T11:03:51Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | Multiple sensors / Hao Li [et al.] // Новые горизонты - 2023 : сборник материалов X Белорусско-Китайского молодежного инновационного форума, 9-10 ноября 2023 года / Белорусский национальный технический университет. – Минск : БНТУ, 2023. – Т. 1. – С. 130-132. | ru |
| dc.identifier.uri | https://rep.bntu.by/handle/data/139819 | |
| dc.description.abstract | The paper discusses an advanced human fall detection algorithm that utilizes data from multiple sensors, specifically acceleration sensors and video sensors, to enhance fall risk management for high-risk groups like the elderly and those with limited mobility. The key innovation in this research is the integration of multiple sensors, which enhances the accuracy and reliability in differentiating between genuine falls and non-fall activities. This advancement significantly enhances the safety of individuals who are at a high risk of falling. | ru |
| dc.language.iso | en | ru |
| dc.publisher | БНТУ | ru |
| dc.title | Multiple sensors | ru |
| dc.type | Working Paper | ru |
