The future of the human–machine interface (HMI) in society 5.0
The blending of human and mechanical capabilities has become a reality in the realm of
Industry 4.0. Enterprises are encouraged to design frameworks capable of harnessing the …
Industry 4.0. Enterprises are encouraged to design frameworks capable of harnessing the …
Comparative analytical survey on cognitive agents with emotional intelligence
R Zall, MR Kangavari - Cognitive Computation, 2022 - Springer
During the past decade, social interaction in computer systems has attracted wide attention
from the human-computer interaction and robotics communities. One of the essential …
from the human-computer interaction and robotics communities. One of the essential …
MS-MDA: Multisource marginal distribution adaptation for cross-subject and cross-session EEG emotion recognition
As an essential element for the diagnosis and rehabilitation of psychiatric disorders, the
electroencephalogram (EEG) based emotion recognition has achieved significant progress …
electroencephalogram (EEG) based emotion recognition has achieved significant progress …
Performance comparison of tf-idf and word2vec models for emotion text classification
DE Cahyani, I Patasik - Bulletin of Electrical Engineering and Informatics, 2021 - beei.org
Emotion is the human feeling when communicating with other humans or reaction to
everyday events. Emotion classification is needed to recognize human emotions from text …
everyday events. Emotion classification is needed to recognize human emotions from text …
[HTML][HTML] Examining the effects of emotional valence and arousal on takeover performance in conditionally automated driving
In conditionally automated driving, drivers have difficulty in takeover transitions as they
become increasingly decoupled from the operational level of driving. Factors influencing …
become increasingly decoupled from the operational level of driving. Factors influencing …
A multilayer stacking method base on RFE-SHAP feature selection strategy for recognition of driver's mental load and emotional state
J Huang, Y Peng, L Hu - Expert Systems with Applications, 2024 - Elsevier
The driver state monitoring is becoming one of the research hotspots in the field of traffic and
vehicle safety, which can ensure driving safety by monitoring the driver's state. Therefore …
vehicle safety, which can ensure driving safety by monitoring the driver's state. Therefore …
STGATE: Spatial-temporal graph attention network with a transformer encoder for EEG-based emotion recognition
Electroencephalogram (EEG) is a crucial and widely utilized technique in neuroscience
research. In this paper, we introduce a novel graph neural network called the spatial …
research. In this paper, we introduce a novel graph neural network called the spatial …
Drer: Deep learning–based driver's real emotion recognizer
In intelligent vehicles, it is essential to monitor the driver's condition; however, recognizing
the driver's emotional state is one of the most challenging and important tasks. Most …
the driver's emotional state is one of the most challenging and important tasks. Most …
From rituals to magic: Interactive art and HCI of the past, present, and future
The connection between art and technology is much tighter than is commonly recognized.
The emergence of aesthetic computing in the early 2000s has brought renewed focus on …
The emergence of aesthetic computing in the early 2000s has brought renewed focus on …
Robot's adaptive emotional feedback sustains children's social engagement and promotes their vocabulary learning: a long-term child–robot interaction study
In this article, we present an emotion and memory model for a social robot. The model
allowed the robot to create a memory account of a child's emotional events over four …
allowed the robot to create a memory account of a child's emotional events over four …