Author(s)

Li Ruixuan, Yuizono Takaya and Li Xianghui

Corresponding Author

Li Ruixuan

ABSTRACT

The user spatial emotion is an important index to assess the quality of the space, and the physical characteristics of the space are an important factor affecting the spatial emotion. This article analyses the various emotion recognition techniques and spatial feature extraction methods proposed in the past 20 years. Based on related studies, this paper explores the relationship between spatial emotion and physical characteristics, and introduce a new way to obtain the user physiological signals through wearable physiological sensors, and uses machine classifiers to build emotion recognition models. Finally, we propose a framework of coupling relationship between spatial emotions and physical characteristics to provide decision-making suggestions for the built spaces and new projects.

KEYWORDS

Spatial emotions, spatial physical characteristics, machine learning, portable physiological sensors