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 …
A survey of machine learning techniques in physiology based mental stress detection systems
SS Panicker, P Gayathri - Biocybernetics and Biomedical Engineering, 2019 - Elsevier
Various automated/semi-automated medical diagnosis systems based on human physiology
have been gaining enormous popularity and importance in recent years. Physiological …
have been gaining enormous popularity and importance in recent years. Physiological …
Fast emotion recognition based on single pulse PPG signal with convolutional neural network
Physiological signals contain considerable information regarding emotions. This paper
investigated the ability of photoplethysmogram (PPG) signals to recognize emotion …
investigated the ability of photoplethysmogram (PPG) signals to recognize emotion …
Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy
W Li, Z Zhang, A Song - Measurement, 2021 - Elsevier
Exploration on emotions continues from past to present. Nowadays, with the rapid
advancement of intelligent technology, computer-aided emotion recognition using …
advancement of intelligent technology, computer-aided emotion recognition using …
Sensors and artificial intelligence methods and algorithms for human–computer intelligent interaction: A systematic mapping study
To equip computers with human communication skills and to enable natural interaction
between the computer and a human, intelligent solutions are required based on artificial …
between the computer and a human, intelligent solutions are required based on artificial …
Emotion recognition using convolutional neural network with selected statistical photoplethysmogram features
Emotion recognition research has been conducted using various physiological signals. In
this paper, we propose an efficient photoplethysmogram-based method that fuses the deep …
this paper, we propose an efficient photoplethysmogram-based method that fuses the deep …
Hybrid deep convolutional model-based emotion recognition using multiple physiological signals
F Patlar Akbulut - Computer Methods in Biomechanics and …, 2022 - Taylor & Francis
Emotion recognition has become increasingly utilized in the medical, advertising, and
military domains. Recognizing the cues of emotion from human behaviors or physiological …
military domains. Recognizing the cues of emotion from human behaviors or physiological …
Estimation of organizational competitiveness by a hybrid of one-dimensional convolutional neural networks and self-organizing maps using physiological signals for …
The theory of modern organizations considers emotional intelligence to be the metric for
tools that enable organizations to create a competitive vision. It also helps corporate leaders …
tools that enable organizations to create a competitive vision. It also helps corporate leaders …
[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 …
[PDF][PDF] Emotion recognition with short-period physiological signals using bimodal sparse autoencoders.
With the advancement of human-computer interaction and artificial intelligence, emotion
recognition has received significant research attention. The most commonly used technique …
recognition has received significant research attention. The most commonly used technique …