Cargando…
Vision-Based Measurement of Heart Rate from Ballistocardiographic Head Movements Using Unsupervised Clustering
Heart rate has been measured comfortably using a camera without the skin-contact by the development of vision-based measurement. Despite the potential of the vision-based measurement, it has still presented limited ability due to the noise of illumination variance and motion artifacts. Remote ballis...
Autores principales: | Lee, Hyunwoo, Cho, Ayoung, Lee, Seongwon, Whang, Mincheol |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695981/ https://www.ncbi.nlm.nih.gov/pubmed/31344939 http://dx.doi.org/10.3390/s19153263 |
Ejemplares similares
-
Non-Contact Measurement of Empathy Based on Micro-Movement Synchronization
por: Cho, Ayoung, et al.
Publicado: (2021) -
Fusion Method to Estimate Heart Rate from Facial Videos Based on RPPG and RBCG
por: Lee, Hyunwoo, et al.
Publicado: (2021) -
Heart Rate Estimated from Body Movements at Six Degrees of Freedom by Convolutional Neural Networks
por: Lee, Hyunwoo, et al.
Publicado: (2018) -
The physiological measurement and evaluation of empathy of video content
por: Cho, Ayoung, et al.
Publicado: (2023) -
An Enhanced Method to Estimate Heart Rate from Seismocardiography via Ensemble Averaging of Body Movements at Six Degrees of Freedom
por: Lee, Hyunwoo, et al.
Publicado: (2018)