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 …
As an essential element for the diagnosis and rehabilitation of psychiatric disorders, the electroencephalogram (EEG) based emotion recognition has achieved significant progress …
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 …
In conditionally automated driving, drivers have difficulty in takeover transitions as they become increasingly decoupled from the operational level of driving. Factors influencing …
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 …
J Li, W Pan, H Huang, J Pan, F Wang - Frontiers in Human …, 2023 - frontiersin.org
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 …
G Oh, J Ryu, E Jeong, JH Yang, S Hwang, S Lee, S Lim - Sensors, 2021 - mdpi.com
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 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 …
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 …