Cargando…
Assessing Emotional Responses to the Spatial Quality of Urban Green Spaces through Self-Report and Face Recognition Measures
Although creating a high-quality urban green space (UGS) is of considerable importance in public health, few studies have used individuals’ emotions to evaluate the UGS quality. This study aims to conduct a multidimensional emotional assessment method of UGS from the perspective of spatial quality....
Autores principales: | Qiao, Lin, Zhuang, Jingwei, Zhang, Xuan, Su, Yang, Xia, Yiping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393696/ https://www.ncbi.nlm.nih.gov/pubmed/34444282 http://dx.doi.org/10.3390/ijerph18168526 |
Ejemplares similares
-
Effects of Visual Attributes of Flower Borders in Urban Vegetation Landscapes on Aesthetic Preference and Emotional Perception
por: Zhuang, Jingwei, et al.
Publicado: (2021) -
Emotional-Health-Oriented Urban Design: A Novel Collaborative Deep Learning Framework for Real-Time Landscape Assessment by Integrating Facial Expression Recognition and Pixel-Level Semantic Segmentation
por: Zhang, Xuan, et al.
Publicado: (2022) -
Investigating Visual Aesthetic Fatigue in Urban Green Spaces
por: Xu, Wenyan, et al.
Publicado: (2023) -
Self-aware face emotion accelerated recognition algorithm: a novel neural network acceleration algorithm of emotion recognition for international students
por: Tong, Lian, et al.
Publicado: (2023) -
Features of urban green spaces associated with positive emotions, mindfulness and relaxation
por: Olszewska-Guizzo, Agnieszka, et al.
Publicado: (2022)