…Low-latency gesture detection ### Applications - **Grid navigation**: Discrete movement in 2D space…
ROAMM (Reading Observed At Mindless Moments) is a multimodal dataset of simultaneous EEG and eye-tracking recordings from 44 participants during naturalistic reading, with span-level mind-wandering annotations collected through a retrospective self-report paradigm. It serves as a benchmark for mind-wandering detection and EEG-to-text decoding, and supports research on how attention lapses degrade language decoding from brain activity. Synchronized machine-learning-ready data, reading stimuli and page-level comprehension scores are included.
…motor imagery, BCI, brain-computer interface, EEG, virtual reality, embodiment, virtual hand…
EEG recordings from 17 participants during continuous gameplay of Escape from Asteroid Axon, an 8-bit style video game. Participants also completed a two-stimulus visual oddball task and a two-doors gambling task. Task triggers are embedded in the EEG files and accompanied by continuous .csv logs of player movement, actions, antagonist position, and loot boxes. The data support analysis of canonical neural events during naturalistic, continuous behavior.
…Edward Chang) who experienced immersive virtual-reality (VR) stimuli: a modified virtual…
EEG recordings from 32 participants performing motor imagery of sit-to-stand and stand-to-sit movements, collected in offline and online brain-computer interface (BCI) phases. Signals were recorded from 17 channels (10-20 placement) at 250 Hz while visual cues on a screen guided motor imagery and idle-state trials. Offline data were used to train machine learning models that then provided real-time task detection in the online phase.
…recordings during sham neurofeedback in virtual reality Description This dataset contains EEG…
This dataset contains simultaneously recorded EEG and fMRI data from 22 adults aged 23 to 51 years, collected at the Nathan Kline Institute while participants watched naturalistic video stimuli. It also includes eye tracking, physiological (respiration) recordings, demographic information, and behavioral measures such as sleep and caffeine intake. The goal is to investigate the relationship between electrical brain activity and hemodynamic fluctuations.
A mobile EEG dataset of auditory attention from 20 participants performing a two-competing-speaker paradigm. Participants either sat on a chair or walked an indoor route while attending to one of two speakers. Salient environmental events presented from in front of the participant were used to disrupt attention, allowing neural tracking of speech to be studied in realistic, mobile conditions.
…SSVEP-controlled videogame (4-target navigation) Number of classes: 4 Class labels…