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

• Main Authors: Ahnryul Choi (Author), Tae Hyong Kim (Author), Oleksandr Yuhai (Author), Soohwan Jeong (Author), Kyungran Kim (Author), Hyunggun Kim (Author), Joung Hwan Mun (Author)
• Format: Book
• Published: IEEE, 2022-01-01T00:00:00Z.
• Subjects: article
• Online Access: 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...