Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pablo V. A. Barros"'
Publikováno v:
IEEE Transactions on Affective Computing, 13(3):3, 1349-1365. Institute of Electrical and Electronics Engineers
Recent emotion recognition models, most of them being based on strongly supervised deep learning solutions, are rather successful in recognizing instantaneous emotion expressions. However, when applied to continuous interactions, these models show a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb386cc097eb64a5f08e92a65257cc0f
https://research.tue.nl/nl/publications/e7f3704b-0cb3-4b44-a6d5-d019f93a659e
https://research.tue.nl/nl/publications/e7f3704b-0cb3-4b44-a6d5-d019f93a659e
Autor:
Pablo V. A. Barros, Inge M. Hootsmans, Emilia I. Barakova, Romain H. A. Toebosch, Lena M. Opheij, Alessandra Sciutti, Anne C. Bloem
Publikováno v:
HRI 2021-Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 524-528
STARTPAGE=524;ENDPAGE=528;TITLE=HRI 2021-Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
HRI (Companion)
Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
STARTPAGE=524;ENDPAGE=528;TITLE=HRI 2021-Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
HRI (Companion)
Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
This paper describes the design of an interactive game between humans and a robot that makes it possible to observe, analyze, and model competitive strategies and affective interactions with the aim to dynamically generate appropriate responses or in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2ff38fe3c3c297e2588298844a04026
https://research.tue.nl/nl/publications/016b97c9-d6ad-4a33-b726-6c04517d2b8d
https://research.tue.nl/nl/publications/016b97c9-d6ad-4a33-b726-6c04517d2b8d
Publikováno v:
2020 IEEE Congreso Bienal de Argentina (ARGENCON).
With the increase of competitiveness among companies, knowledge management has become a strategic factor to ensure the sustainability of organizations. One of the most challenging problems within knowledge management is the representation of tacit kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6acbd6182c2644ea580e28334ab8424e
https://doi.org/10.1109/argencon49523.2020.9505463
https://doi.org/10.1109/argencon49523.2020.9505463
Autor:
Inge M. Hootsmans, Emilia I. Barakova, Pablo V. A. Barros, Matthias Kerzel, Romain H. A. Toebosch, Anne C. Bloem, Lena M. Opheij
Publikováno v:
HRI 2020-Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 142-144
STARTPAGE=142;ENDPAGE=144;TITLE=HRI 2020-Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
HRI (Companion)
STARTPAGE=142;ENDPAGE=144;TITLE=HRI 2020-Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
HRI (Companion)
This paper is the first step of an attempt to equip social robots with emotion recognition capabilities comparable to those of humans. Most of the recent deep learning solutions for facial expression recognition under-perform when deployed in Human-R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::043800693729f87b6d1fe394d25291dc
https://research.tue.nl/en/publications/95c7f8d4-64ee-458f-99a0-5c4fe8bfedce
https://research.tue.nl/en/publications/95c7f8d4-64ee-458f-99a0-5c4fe8bfedce
Autor:
Sergio Murilo Maciel Fernandes, Bruno J. T. Fernandes, Agostinho A. F. Júnior, Yves M. Galvão, Janderson Ferreira, Pablo V. A. Barros
Publikováno v:
ICDL-EPIROB
Currently, path planning algorithms are used in many daily tasks. They are relevant to find the best route in traffic and make autonomous robots able to navigate. The use of path planning presents some issues in large and dynamic environments. Large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6eae01604477924c83c484352fd7bf4
Publikováno v:
Social Robotics-12th International Conference, ICSR 2020, Golden, CO, USA, November 14–18, 2020, Proceedings
Social Robotics ISBN: 9783030620554
ICSR
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Social Robotics
Social Robotics ISBN: 9783030620554
ICSR
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Social Robotics
Effective tutoring during motor learning requires to provide the appropriate physical assistance to the learners, but at the same time to assess and adapt to their state, to avoid frustration. With the aim of endowing robot tutors with these abilitie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b94889030a78e229583402726f085b9
Autor:
Janderson Ferreira, Yves M. Galvão, Pablo V. A. Barros, Bruno J. T. Fernandes, Vinicius A. Albuquerque
Publikováno v:
Expert Systems with Applications. 168:114226
A computational system able to automatically and efficiently detect and classify falls would be beneficial for monitoring the elderly population and speed up the assistance proceedings, reducing the risk of prolonged injuries and death. One of the mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb25ea43199e9e069273e67c2d6922af
https://doi.org/10.1016/j.eswa.2020.114226
https://doi.org/10.1016/j.eswa.2020.114226
Publikováno v:
SN Computer Science
Sn Computer Science
Sn Computer Science
Funder: Istituto Italiano di Tecnologia
Current state-of-the-art models for automatic facial expression recognition (FER) are based on very deep neural networks that are effective but rather expensive to train. Given the dynamic conditions of FE
Current state-of-the-art models for automatic facial expression recognition (FER) are based on very deep neural networks that are effective but rather expensive to train. Given the dynamic conditions of FE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e47c51564c6686a8fe66a648ead18e4
Autor:
Pablo V. A. Barros, Emilia I. Barakova, Alessandra Sciutti, Lena M. Opheij, Inge M. Hootsmans, Anne C. Bloem, Romain H. A. Toebosch
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Frontiers in Robotics and AI
Frontiers in Robotics and AI, 8:669990. Frontiers Media S.A.
Frontiers in Robotics and AI
Frontiers in Robotics and AI, 8:669990. Frontiers Media S.A.
Reinforcement learning simulation environments pose an important experimental test bed and facilitate data collection for developing AI-based robot applications. Most of them, however, focus on single-agent tasks, which limits their application to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01ce20abae515b9e1475f4af2f581bf4