Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Real-time posture monitoring prediction for mitigating sedentary health risks using deep learning techniques
Real-time posture monitoring prediction for mitigating sedentary health risks using deep learning techniques
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
D., B. Shanmugam
,
J., Dhilipan
Format:
Recurso digital
Published:
Zenodo
2025
Subjects:
Cardiovascular health
Deep neural network
Machine learning
Posture monitoring
Sedentary behavior
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.11591/ijict.v14i3.pp1126-1135
Similar Items
Deep Learning for Peripheral Blood Smear Interpretation
by: P. Shobana
Published: (2025)
When the state of the art is ahead of the state of understanding: unintuitive properties of deep neural networks
by: Joan Serrà
Published: (2019)
Association between screen time exposure, anxiety, and sleep quality in adolescents
by: Fátima Larissa Santiago
Published: (2022)
The effect of social distancing due to the COVID-19 on adult and elderly exercises. Exercise and social distancing
by: Ritter, Alexandre Luis
Published: (2021)
Materials suitable for sedentary lifestyle products
by: Kadiu, Claydi
Published: (2026)