Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Alimardani, Maryam"'
Current Motor Imagery Brain-Computer Interfaces (MI-BCI) require a lengthy and monotonous training procedure to train both the system and the user. Considering many users struggle with effective control of MI-BCI systems, a more user-centered approac
Externí odkaz:
http://arxiv.org/abs/2407.04610
Autor:
van Weelden, Evy, van Beek, Carl W. E., Alimardani, Maryam, Wiltshire, Travis J., Ledegang, Wietse D., Groen, Eric L., Louwerse, Max M.
High-risk operational tasks such as those in aviation require training environments that are realistic and capable of inducing high levels of workload. Virtual Reality (VR) offers a simulated 3D environment for immersive, safe and valid training of p
Externí odkaz:
http://arxiv.org/abs/2309.09619
This study looked into how effective a Musical Brain-Computer Interface (MBCI) can be in providing feedback about synchrony between two people. Using a double EEG setup, we compared two types of musical feedback; one that adapted in real-time based o
Externí odkaz:
http://arxiv.org/abs/2309.02079
A major issue in Motor Imagery Brain-Computer Interfaces (MI-BCIs) is their poor classification accuracy and the large amount of data that is required for subject-specific calibration. This makes BCIs less accessible to general users in out-of-the-la
Externí odkaz:
http://arxiv.org/abs/2307.12827
Conceptual models visually represent entities and relationships between them in an information system. Effective conceptual models should be simple while communicating sufficient information. This trade-off between model complexity and clarity is cru
Externí odkaz:
http://arxiv.org/abs/2203.12342
Autor:
Atilla, Fred, Alimardani, Maryam
Accurate detection of a drivers attention state can help develop assistive technologies that respond to unexpected hazards in real time and therefore improve road safety. This study compares the performance of several attention classifiers trained on
Externí odkaz:
http://arxiv.org/abs/2108.10062
Autor:
Leeuwis, Nikki, Alimardani, Maryam
Brain computer interfaces (BCI) decode the electrophysiological signals from the brain into an action that is carried out by a computer or robotic device. Motor imagery BCIs (MI BCI) rely on the user s imagination of bodily movements, however not all
Externí odkaz:
http://arxiv.org/abs/2010.02026
Mindfulness is the state of paying attention to the present moment on purpose and meditation is the technique to obtain this state. This study aims to develop a robot assistant that facilitates mindfulness training by means of a Brain Computer Interf
Externí odkaz:
http://arxiv.org/abs/2008.05305
Autor:
Kuijt, Andrea, Alimardani, Maryam
Humans constantly interact with digital devices that disregard their feelings. However, the synergy between human and technology can be strengthened if the technology is able to distinguish and react to human emotions. Models that rely on unconscious
Externí odkaz:
http://arxiv.org/abs/2005.02824
With the advancements in social robotics and virtual avatars, it becomes increasingly important that these agents adapt their behavior to the mood, feelings and personality of their users. One such aspect of the user is empathy. Whereas many studies
Externí odkaz:
http://arxiv.org/abs/2003.10886