Cargando…
Optomyography-based sensing of facial expression derived arousal and valence in adults with depression
BACKGROUND: Continuous assessment of affective behaviors could improve the diagnosis, assessment and monitoring of chronic mental health and neurological conditions such as depression. However, there are no technologies well suited to this, limiting potential clinical applications. AIM: To test if w...
Autores principales: | Broulidakis, M. John, Kiprijanovska, Ivana, Severs, Liberty, Stankoski, Simon, Gjoreski, Martin, Mavridou, Ifigeneia, Gjoreski, Hristijan, Cox, Sophia, Bradwell, Daisy, Stone, James M., Nduka, Charles |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442807/ https://www.ncbi.nlm.nih.gov/pubmed/37614653 http://dx.doi.org/10.3389/fpsyt.2023.1232433 |
Ejemplares similares
-
Facial EMG sensing for monitoring affect using a wearable device
por: Gjoreski, Martin, et al.
Publicado: (2022) -
Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning
por: Stankoski, Simon, et al.
Publicado: (2022) -
Towards smart glasses for facial expression recognition using OMG and machine learning
por: Kiprijanovska, Ivana, et al.
Publicado: (2023) -
Detection of Gait Abnormalities for Fall Risk Assessment Using Wrist-Worn Inertial Sensors and Deep Learning
por: Kiprijanovska, Ivana, et al.
Publicado: (2020) -
Smartwatch-Based Eating Detection: Data Selection for Machine Learning from Imbalanced Data with Imperfect Labels
por: Stankoski, Simon, et al.
Publicado: (2021)