Survey of emotions in human–robot interactions: Perspectives from robotic psychology on 20 years of research

R Stock-Homburg - International Journal of Social Robotics, 2022 - Springer
Abstract Knowledge production within the interdisciplinary field of human–robot interaction
(HRI) with social robots has accelerated, despite the continued fragmentation of the …

Ubiquitous affective computing: A review

R Assabumrungrat, S Sangnark… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
This review investigated research works on affective computing by using electrocardiogram
(ECG) and electrodermal activity (EDA). The 27 related research papers, including 23 from …

Adaptive multimodal emotion detection architecture for social robots

J Heredia, E Lopes-Silva, Y Cardinale… - Ieee …, 2022 - ieeexplore.ieee.org
Emotion recognition is a strategy for social robots used to implement better Human-Robot
Interaction and model their social behaviour. Since human emotions can be expressed in …

Multi-task learning on the edge for effective gender, age, ethnicity and emotion recognition

P Foggia, A Greco, A Saggese, M Vento - Engineering Applications of …, 2023 - Elsevier
More and more real-world applications, especially in cognitive robotics, require the running
of different computer vision algorithms in parallel on board of embedded devices with limited …

Group emotion detection based on social robot perception

M Quiroz, R Patiño, J Diaz-Amado, Y Cardinale - Sensors, 2022 - mdpi.com
Social robotics is an emerging area that is becoming present in social spaces, by
introducing autonomous social robots. Social robots offer services, perform tasks, and …

Human-robot handshaking: A review

V Prasad, R Stock-Homburg, J Peters - International Journal of Social …, 2022 - Springer
For some years now, the use of social, anthropomorphic robots in various situations has
been on the rise. These are robots developed to interact with humans and are equipped with …

Emotion recognition from multiple physiological signals using intra-and inter-modality attention fusion network

L Gong, W Chen, M Li, T Zhang - Digital Signal Processing, 2024 - Elsevier
Recently, many studies have shown that integrating multiple modalities can more accurately
and robustly identify human emotions compared with a single modality. However, how to …

REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time

K Candon, NC Georgiou, H Zhou… - Proceedings of the …, 2024 - dl.acm.org
Recent work in Human-Robot Interaction (HRI) has shown that robots can leverage implicit
communicative signals from users to understand how they are being perceived during …

ROS system facial emotion detection using machine learning for a low-cost robot based on Raspberry Pi

J Martínez, J Vega - Electronics, 2022 - mdpi.com
Facial emotion recognition (FER) is a field of research with multiple solutions in the state-of-
the-art, focused on fields such as security, marketing or robotics. In the literature, several …

Classification of User Emotional Experiences on B2C Websites Utilizing Infrared Thermal Imaging

L Li, W Tang, H Yang, C Xue - Sensors, 2023 - mdpi.com
The acquisition of physiological signals for analyzing emotional experiences has been
intrusive, and potentially yields inaccurate results. This study employed infrared thermal …