Cargando…
Development of a Smart Chair Sensors System and Classification of Sitting Postures with Deep Learning Algorithms
Nowadays in modern societies, a sedentary lifestyle is almost inevitable for a majority of the population. Long hours of sitting, especially in wrong postures, may result in health complications. A smart chair with the capability to identify sitting postures can help reduce health risks induced by a...
Autores principales: | Aminosharieh Najafi, Taraneh, Abramo, Antonio, Kyamakya, Kyandoghere, Affanni, Antonio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371131/ https://www.ncbi.nlm.nih.gov/pubmed/35898088 http://dx.doi.org/10.3390/s22155585 |
Ejemplares similares
-
Drivers’ Mental Engagement Analysis Using Multi-Sensor Fusion Approaches Based on Deep Convolutional Neural Networks
por: Aminosharieh Najafi, Taraneh, et al.
Publicado: (2023) -
A Smart Chair to Monitor Sitting Posture by Capacitive Textile Sensors
por: Martínez-Estrada, Marc, et al.
Publicado: (2023) -
Development of an EEG Headband for Stress Measurement on Driving Simulators †
por: Affanni, Antonio, et al.
Publicado: (2022) -
Driver Attention Assessment Using Physiological Measures from EEG, ECG, and EDA Signals †
por: Aminosharieh Najafi, Taraneh, et al.
Publicado: (2023) -
LifeChair: A Conductive Fabric Sensor-Based Smart Cushion for Actively Shaping Sitting Posture
por: Ishac, Karlos, et al.
Publicado: (2018)