Automated atrial fibrillation detection based on feature fusion using discriminant canonical correlation analysis

J Shi, C Chen, H Liu, Y Wang, M Shu… - … Methods in Medicine, 2021 - Wiley Online Library
Atrial fibrillation (AF) is one of the most common cardiovascular diseases, with a high
disability rate and mortality rate. The early detection and treatment of atrial fibrillation have …

Emotion Analysis on EEG Signal Using Machine Learning and Neural Network

SM Ahmed, ET Sabur - arxiv preprint arxiv:2307.05375, 2023 - arxiv.org
Emotion has a significant influence on how one thinks and interacts with others. It serves as
a link between how a person feels and the actions one takes, or it could be said that it …

Study on the identification of irritability emotion based on the percentage change in pupil size

M Zhao, H Gao, W Wang, J Qu, L Chen - Proceedings of the 2020 2nd …, 2020 - dl.acm.org
In order to explore the percentage change in pupil size that can represent the generation of
irritability, the experiment of inducing irritability was designed. The pupil diameter of the …

Feature fusion algorithm for multimodal emotion recognition from speech and facial expression signal

Z Han, J Wang - MATEC Web of Conferences, 2016 - matec-conferences.org
In order to overcome the limitation of single mode emotion recognition. This paper describes
a novel multimodal emotion recognition algorithm, and takes speech signal and facial …

Speech emotion recognition based on Fuzzy K-NN algorithm with fractionally spaced blind equalization

T Yuan, C Deng, WY Shi - 2016 2nd Workshop on Advanced …, 2016 - atlantis-press.com
Due to the noise and multi-channel room acoustic environment, practical speech emotion
recognition remains an unsolved challenge. In this paper, we first study the fractional spaced …

Research on Emotion Recognition Based on Facial Expression and EEG

N Yan, X Zeng, L Chen - … on Networking Systems of AI (INSAI), 2021 - ieeexplore.ieee.org
With the development of artificial intelligence technology, emotion recognition has become
an increasingly important research topic. Recognizing emotions only from the data with a …

Current situation of multimodal corpora and the method of Tibetan corpus construction

G Li, T Fang, L Liang, B Sun - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
In recent years, the rapid development of artificial intelligence has brought enormous
influence to the human social life, and as part of artificial intelligence, affective computing is …

Research on emotional Interaction Service system and Design for the Disadvantaged Groups based on China Health Care Situation

Y Wang - 2023 - tesidottorato.depositolegale.it
As group animals, human beings have emotional needs that we need at every stage of our
lives. Emotional interaction is one of the main development trends of human-computer …

Study of speech emotion recognition based on prosodic parameters and facial expression features

YT Wang, J Han, XQ Jiang, J Zou… - Applied Mechanics and …, 2013 - Trans Tech Publ
The present status of speech emotion recognition was introduced in the paper. The
emotional databases of Chinese speech and facial expressions were established with the …

Research progress of emotion recognition in information fusion.

D Hong-She, G Chu-Jia, Z Na - Application Research of …, 2013 - search.ebscohost.com
This paper presented several short introductions to emotion recognition methods based on
different data sources and status quo of information fusion technology, which provided the …