Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Dennis Kuster"'
Autor:
Mazen Salous, Dennis Kuster, Kevin Scheck, Aytac Dikfidan, Tim Neumann, Felix Putze, Tanja Schultz
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
A growing body of research suggests that movement aids facial expression recognition. However, less is known about the conditions under which the dynamic advantage occurs. The aim of this research was to test emotion recognition in static and dynamic
Externí odkaz:
https://doaj.org/article/37c831cb704340ea89cc92f5afe0c8ba
Publikováno v:
Sensors, Vol 24, Iss 1, p 126 (2023)
This paper provides a comprehensive overview of affective computing systems for facial expression recognition (FER) research in naturalistic contexts. The first section presents an updated account of user-friendly FER toolboxes incorporating state-of
Externí odkaz:
https://doaj.org/article/e7f7551d459c4ca4b70d7f3daea3c993
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Social robots are increasingly being studied in educational roles, including as tutees in learning-by-teaching applications. To explore the benefits and drawbacks of using robots in this way, it is important to study how robot tutees compare to tradi
Externí odkaz:
https://doaj.org/article/d763303830234589ba50e147ed421e21
Publikováno v:
Frontiers in Computer Science, Vol 3 (2022)
Physical, social and cognitive activation is an important cornerstone in non-pharmacological therapy for People with Dementia (PwD). To support long-term motivation and well-being, activation contents first need to be perceived positively. Prompting
Externí odkaz:
https://doaj.org/article/c34bdc5bf85249e0af9e12a738deeed3
Autor:
Jiahui Huang, Yew Ken Chia, Samson Yu, Kevin Yee, Dennis Küster, Eva G. Krumhuber, Dorien Herremans, Gemma Roig
Publikováno v:
Sensors, Vol 22, Iss 9, p 3533 (2022)
In this paper, we introduce an approach for future frames prediction based on a single input image. Our method is able to generate an entire video sequence based on the information contained in the input frame. We adopt an autoregressive approach in
Externí odkaz:
https://doaj.org/article/4a2370fcd3274e7c8127d7854de3ce99
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
The ability to automatically assess emotional responses via contact-free video recording taps into a rapidly growing market aimed at predicting consumer choices. If consumer attention and engagement are measurable in a reliable and accessible manner,
Externí odkaz:
https://doaj.org/article/0bbb1aac8dfa4cc1a60f745316ee2a76
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0231968 (2020)
In the wake of rapid advances in automatic affect analysis, commercial automatic classifiers for facial affect recognition have attracted considerable attention in recent years. While several options now exist to analyze dynamic video data, less is k
Externí odkaz:
https://doaj.org/article/ac46f357764048b1b48bbff17d19ceba
Autor:
Dennis Küster
Publikováno v:
Evolutionary Psychology, Vol 16 (2018)
Small pupils elicit empathic socioemotional responses comparable to those found for emotional tears. This might be understood in an evolutionary context. Intense emotional tearing increases tear film volume and disturbs tear layer uniformity, resulti
Externí odkaz:
https://doaj.org/article/ffc9956cb7784a3d8c0fba2aaf707ddf
Publikováno v:
Royal Society Open Science, Vol 3, Iss 8 (2016)
We study the changes in emotional states induced by reading and participating in online discussions, empirically testing a computational model of online emotional interaction. Using principles of dynamical systems, we quantify changes in valence and
Externí odkaz:
https://doaj.org/article/cb128b8f02e24d6f9b5a57c88c163b61