Comparison of Deep Learning Techniques for RF-Based Human Posture Detection Systems
This article focuses on techniques for a human posture classification framework that implements radio frequency (RF) active systems. In the first step, we describe the general approach considered for human posture classification. To this effect, we propose four different solutions: one based on trad...
Saved in:
| Main Authors: | Eugene Casmin, Miriam Rodrigues, Americo Alves, Rodolfo Oliveira |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of the Computer Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11007508/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
In-Bed Posture Classification Using Pressure Data from a Sensor Sheet Under the Mattress
by: André Serra, et al.
Published: (2024-12-01) -
Limb movement detection and analysis based on visual recognition of human posture
by: Zhiguo Xiao, et al.
Published: (2025-03-01) -
The Role of Pregnancy in Postural Control and Standing
Postural Orientation: a Comparison between Before and
After Delivery and Non – Pregnant Subjects
by: Nader Farahpour, et al.
Published: (2011-03-01) -
KARATE TECHNIQUES AS A METHOD FOR CORRECTING POSTURAL SCOLIOSIS
by: Bălăiasa Dragoș George
Published: (2025-02-01) -
Control of postural alignment in patients with Parkinsons disease: analysis through postural software (SAPO)
by: Lucia Martins Barbatto
Published: (2013-10-01)