Deep Learning-Based Near-Fall Detection Algorithm for Fall Risk Monitoring System Using a Single Inertial Measurement Unit

• Autori principali: Ahnryul Choi (Autore), Tae Hyong Kim (Autore), Oleksandr Yuhai (Autore), Soohwan Jeong (Autore), Kyungran Kim (Autore), Hyunggun Kim (Autore), Joung Hwan Mun (Autore)
• Natura: Libro
• Pubblicazione: IEEE, 2022-01-01T00:00:00Z.
• Soggetti: article
• Accesso online: Connect to this object online.

Proactively detecting falls and preventing injuries are among the primary keys to a healthy life for the elderly. Near-fall remote monitoring in daily life could provide key information to prevent future falls and obtain quantitative rehabilitation status for patients with weak balance ability. In t...