A Blanket Accommodative Sleep Posture Classification System Using an Infrared Depth Camera: A Deep Learning Approach with Synthetic Augmentation of Blanket Conditions

Surveillance of sleeping posture is essential for bed-ridden patients or individuals at-risk of falling out of bed. Existing sleep posture monitoring and classification systems may not be able to accommodate the covering of a blanket, which represents a barrier to conducting pragmatic studies. The o...

Descripción completa

Detalles Bibliográficos
Autores principales: Tam, Andy Yiu-Chau, So, Bryan Pak-Hei, Chan, Tim Tin-Chun, Cheung, Alyssa Ka-Yan, Wong, Duo Wai-Chi, Cheung, James Chung-Wai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402261/
https://www.ncbi.nlm.nih.gov/pubmed/34450994
http://dx.doi.org/10.3390/s21165553

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402261/
https://www.ncbi.nlm.nih.gov/pubmed/34450994
http://dx.doi.org/10.3390/s21165553

Ejemplares similares