Review of studies on emotion recognition and judgment based on physiological signals
W Lin, C Li - Applied Sciences, 2023 - mdpi.com
People's emotions play an important part in our daily life and can not only reflect
psychological and physical states, but also play a vital role in people's communication …
psychological and physical states, but also play a vital role in people's communication …
Human-building interaction for indoor environmental control: Evolution of technology and future prospects
This paper presents a data-driven literature review of human-building interaction (HBI),
which refers to the interaction between occupants and buildings. Through natural language …
which refers to the interaction between occupants and buildings. Through natural language …
Multidimensional assessment of anxiety through the State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA): From dimensionality to response prediction …
The assessment of mal-adaptive anxiety is crucial, considering the associated personal,
economic, and societal burden. The State-Trait Inventory for Cognitive and Somatic Anxiety …
economic, and societal burden. The State-Trait Inventory for Cognitive and Somatic Anxiety …
Automatic classification of emotions based on cardiac signals: a systematic literature review
Emotions play a pivotal role in human cognition, exerting influence across diverse domains
of individuals' lives. The widespread adoption of artificial intelligence and machine learning …
of individuals' lives. The widespread adoption of artificial intelligence and machine learning …
D-ResNet-PVKELM: deep neural network and paragraph vector based kernel extreme machine learning model for multimodal depression analysis
Nowadays, depression heavily affects humans' physical and mental health. Depression
occurs due to changes in mood, loss of interest, and stress, which leads to self-harm events …
occurs due to changes in mood, loss of interest, and stress, which leads to self-harm events …
Multi-modal emotion recognition using recurrence plots and transfer learning on physiological signals
R Elalamy, M Fanourakis… - 2021 9th International …, 2021 - ieeexplore.ieee.org
In this paper we propose to use Recurrence Plots (RP) to generate 2D representations of
physiological activity which should be less subject dependent and better suited for non …
physiological activity which should be less subject dependent and better suited for non …
Understanding the role of emotion in decision making process: using machine learning to analyze physiological responses to visual, auditory, and combined …
Emotions significantly shape decision-making, and targeted emotional elicitations represent
an important factor in neuromarketing, where they impact advertising effectiveness by …
an important factor in neuromarketing, where they impact advertising effectiveness by …
[HTML][HTML] A systematic review of emotion recognition using cardio-based signals
There is a growing demand for emotion recognition systems (ERS) to be adopted in
everyday life from various fields, particularly automotive, education, and social security …
everyday life from various fields, particularly automotive, education, and social security …
Affective state during physiotherapy and its analysis using machine learning methods
Invasive or uncomfortable procedures especially during healthcare trigger emotions.
Technological development of the equipment and systems for monitoring and recording …
Technological development of the equipment and systems for monitoring and recording …
The concept of advanced multi-sensor monitoring of human stress
Many people live under stressful conditions which has an adverse effect on their health.
Human stress, especially long-term one, can lead to a serious illness. Therefore, monitoring …
Human stress, especially long-term one, can lead to a serious illness. Therefore, monitoring …