Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Nicolas Drougard"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Brain-computer interfaces (BCIs) allow direct communication between one’s central nervous system and a computer without any muscle movement hence by-passing the peripheral nervous system. They can restore disabled people’s ability to int
Externí odkaz:
https://doaj.org/article/46d6140dadde436481fe44ffaf266ce7
Autor:
Raphaëlle N. Roy, Marcel F. Hinss, Ludovic Darmet, Simon Ladouce, Emilie S. Jahanpour, Bertille Somon, Xiaoqi Xu, Nicolas Drougard, Frédéric Dehais, Fabien Lotte
Publikováno v:
Frontiers in Neuroergonomics, Vol 3 (2022)
As is the case in several research domains, data sharing is still scarce in the field of Brain-Computer Interfaces (BCI), and particularly in that of passive BCIs—i.e., systems that enable implicit interaction or task adaptation based on a user's m
Externí odkaz:
https://doaj.org/article/57b9b64b92d84a58b336639e8c981995
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Electroencephalography (EEG) is a widely used cerebral activity measuring device for both clinical and everyday life applications. In addition to denoising and potential classification, a crucial step in EEG processing is to extract relevant features
Externí odkaz:
https://doaj.org/article/6e3696c3523a4bc09f239013902b2618
Publikováno v:
Robotics, Vol 9, Iss 4, p 100 (2020)
As systems grow more automatized, the human operator is all too often overlooked. Although human-robot interaction (HRI) can be quite demanding in terms of cognitive resources, the mental states (MS) of the operators are not yet taken into account by
Externí odkaz:
https://doaj.org/article/b11b925ed97245d6b707cf36b6cd8e1f
Publikováno v:
Sensors, Vol 20, Iss 1, p 296 (2020)
The design of human−robot interactions is a key challenge to optimize operational performance. A promising approach is to consider mixed-initiative interactions in which the tasks and authority of each human and artificial agents are dynamically de
Externí odkaz:
https://doaj.org/article/1ace230c146f43188f67dba538580286
Autor:
Frédéric Dehais, Alban Duprès, Sarah Blum, Nicolas Drougard, Sébastien Scannella, Raphaëlle N. Roy, Fabien Lotte
Publikováno v:
Sensors, Vol 19, Iss 6, p 1324 (2019)
Recent technological progress has allowed the development of low-cost and highly portable brain sensors such as pre-amplified dry-electrodes to measure cognitive activity out of the laboratory. This technology opens promising perspectives to monitor
Externí odkaz:
https://doaj.org/article/a43d6b48a5da4f03a8074809aa18678c
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Publikováno v:
2022 International Conference on Unmanned Aircraft Systems (ICUAS).
Publikováno v:
Proceedings of the 33rd Conference on l'Interaction Humain-Machine.
Publikováno v:
NER
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), May 2021, Virtual, Italy. ⟨10.1109/ner49283.2021.9441404⟩
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), May 2021, Virtual, Italy. ⟨10.1109/ner49283.2021.9441404⟩
International audience; Neural oscillations captured by electroencephalography (EEG) can be used by Brain-Computer Interfaces (BCIs) to reveal the underlying mental processes and enable explicitly or implicitly interacting with one's environment. Mos