A survey of autonomous human affect detection methods for social robots engaged in natural HRI
Abstract In Human-Robot Interactions (HRI), robots should be socially intelligent. They
should be able to respond appropriately to human affective and social cues in order to …
should be able to respond appropriately to human affective and social cues in order to …
[PDF][PDF] A facial expression emotion recognition based human-robot interaction system.
Z Liu, M Wu, W Cao, L Chen, J Xu, R Zhang… - IEEE CAA J. Autom …, 2017 - academia.edu
A facial expression emotion recognition based human-robot interaction (FEER-HRI) system
is proposed, for which a four-layer system framework is designed. The FEERHRI system …
is proposed, for which a four-layer system framework is designed. The FEERHRI system …
Effects of movement speed and predictability in human–robot collaboration
M Koppenborg, P Nickel, B Naber… - Human Factors and …, 2017 - Wiley Online Library
Human–robot collaboration (HRC) is characterized by a spatiotemporal overlap between the
workspaces of the human and the robot and has become a viable option in manufacturing …
workspaces of the human and the robot and has become a viable option in manufacturing …
The effect of vehicle automation styles on drivers' emotional state
Self-driving vehicles promise many safety, mobility, and environmental benefits. However,
users' lack of trust and acceptance may threaten the success and potential of this …
users' lack of trust and acceptance may threaten the success and potential of this …
Classifying human emotions in HRI: applying global optimization model to EEG brain signals
M Staffa, L D'Errico, S Sansalone… - Frontiers in …, 2023 - frontiersin.org
Significant efforts have been made in the past decade to humanize both the form and
function of social robots to increase their acceptance among humans. To this end, social …
function of social robots to increase their acceptance among humans. To this end, social …
Unleashing the transferability power of unsupervised pre-training for emotion recognition in masked and unmasked facial images
Facial expressions are an essential part of nonverbal communication and major indicators of
human emotions. Effective automatic Facial Emotion Recognition (FER) systems can …
human emotions. Effective automatic Facial Emotion Recognition (FER) systems can …
A multimodal emotional communication based humans-robots interaction system
ZT Liu, FF Pan, M Wu, WH Cao, LF Chen… - 2016 35th Chinese …, 2016 - ieeexplore.ieee.org
A multimodal emotional communication based humans-robots interaction (MEC-HRI) system
is proposed, which includes multiple emotional communication modes such as speech …
is proposed, which includes multiple emotional communication modes such as speech …
A WiSARD network approach for a BCI-based robotic prosthetic control
There are significant research efforts underway in the area of automatic robotic-prosthesis
control based on brain–computer interface aiming at understanding how neural signals can …
control based on brain–computer interface aiming at understanding how neural signals can …
EEG-based machine learning models for emotion recognition in HRI
M Staffa, L D'Errico - International Conference on Human-Computer …, 2023 - Springer
This work attempts to provide a measure of the human affective state employing the analysis
of electroencephalographic (EEG) activity to accurately identify the psychological state of the …
of electroencephalographic (EEG) activity to accurately identify the psychological state of the …
[图书][B] Cyberpsychology and the brain: The interaction of neuroscience and affective computing
TD Parsons - 2017 - books.google.com
Cyberpsychology is a relatively new discipline that is growing at an alarming rate. While a
number of cyberpsychology-related journals and books have emerged, none directly …
number of cyberpsychology-related journals and books have emerged, none directly …