Artificial Intelligence for the Evaluation of Postures Using Radar Technology: A Case Study
In the last few decades, major progress has been made in the medical field; in particular, new treatments and advanced health technologies allow for considerable improvements in life expectancy and, more broadly, in quality of life. As a consequence, the number of elderly people is expected to incre...
Saved in:
| Main Authors: | Davide De Vittorio, Antonio Barili, Giovanni Danese, Elisa Marenzi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-09-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/19/6208 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
POSTURAL BALANCE PROGRAM: VARIABLES RELATED TO FALLS IN ELDERLY
by: Andréa Kruger Gonçalves, et al.
Published: (2017-06-01) -
Stepping through fear: analysing postural control in elderly women during transitional locomotor tasks
by: Justyna Michalska, et al.
Published: (2025-05-01) -
Radar-based elderly fall detection using SPWVD and ResNet Network
by: P. J. Swarubini, et al.
Published: (2024-12-01) -
Reduction of Vision-Based Models for Fall Detection
by: Asier Garmendia-Orbegozo, et al.
Published: (2024-11-01) -
Construct Validity of a Wearable Inertial Measurement Unit (IMU) in Measuring Postural Sway and the Effect of Visual Deprivation in Healthy Older Adults
by: Luca Ferrari, et al.
Published: (2024-11-01)