AIMC Topic: Emotions

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Affective State Recognition with Convolutional Autoencoders.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The aim of this study was to create a robust generalizable model to classify person's affective state based on physiological signals obtained using wearable sensor devices. Traditional machine learning methods require manual feature extraction from t...

Applying Big Transfer-based classifiers to the DEAP dataset.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Affective brain-computer interfaces are a fast-growing area of research. Accurate estimation of emotional states from physiological signals is of great interest to the fields of psychology and human-computer interaction. The DEAP dataset is one of th...

Convolution Neural Network for Pain Intensity Assessment from Facial Expression.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Pain is an unpleasant feeling that can reflect a patient's health situation. Since measuring pain is subjective, time-consuming, and needs continuous monitoring, automated pain intensity detection from facial expression holds great potential for smar...

MEMD-HHT based Emotion Detection from EEG using 3D CNN.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
In this study, the Multivariate Empirical Mode Decomposition (MEMD) is applied to multichannel EEG to obtain scale-aligned intrinsic mode functions (IMFs) as input features for emotion detection. The IMFs capture local signal variation related to emo...

Artificial Intelligence-Based Mobile Application for Emotion Sensing for Children Through Art.

Studies in health technology and informatics
In this paper, we develop an artificial intelligence (A.I.) based Emotion Sensing Recognition App (ESRA) to help parents and teachers understand the emotions of children by analyzing their drawings. Four different experiments were conducted using a c...

Translating grunts into emotions in pigs.

The Veterinary record
Georgina Mills discusses new research that used artificial intelligence to help determine the emotional state of pigs.

Educational Program Using Robots for Preventing Cognitive Decline of Elderly Persons.

Studies in health technology and informatics
An expected surge of dementia patients in Japan indicates a pressing need to establish countermeasures. As described herein, by developing an educational program for elderly people using robots, we performed a demonstration experiment. Results reveal...

EEG-based Emotion Recognition Using Graph Convolutional Network with Learnable Electrode Relations.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Emotion recognition based on electroencephalography (EEG) plays a pivotal role in the field of affective computing, and graph convolutional neural network (GCN) has been proved to be an effective method and made considerable progress. Since the adjac...

EEG-Based Emotion Recognition for Modulating Social-Aware Robot Navigation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Companion robots play an important role to accompany humans and provide emotional support, such as reducing human social isolation and loneliness. Based on recognizing human partner's mental states, a companion robot is able to dynamically adjust its...