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OpenBCI is an open-source brain–computer interface platform, [1] created by Joel Murphy and Conor Russomanno, after a successful Kickstarter campaign in late 2013. OpenBCI boards can be used to measure and record electrical activity produced by the brain ( EEG ), muscles ( EMG ), and heart ( EKG ), and is compatible with standard EEG electrodes.
Conor Russomanno is an American entrepreneur, inventor, and public speaker, specializing in the development of advanced human-computer interfaces [citation needed].He is the co-founder and CEO of OpenBCI, [1] a company dedicated to open source innovation of brain-computer interface technologies.
Around the same time, OpenBCI was founded by Joel Murphy to create an open source set of devices, processors, and software aimed at biohackers and researchers that incorporates other sensors along with EEG electrodes. [3] At the end of 2020, NextMind began shipping their visual BCI which utilizes an EEG headset with dry electrodes.
The dataset is labeled with semantic labels for 32 semantic classes. over 700 images Images Object recognition and classification 2008 [56] [57] [58] Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur, Roberto Cipolla RailSem19 RailSem19 is a dataset for understanding scenes for vision systems on railways. The dataset is labeled semanticly and ...
All datasets are formatted according to the same format (Brain Imaging Data Structure) and can be accessed via Amazon S3. Human Macroscopic Functional, structural, diffusion MRI, and Magnetoencephalography datasets Healthy and various diseases No [39] Open MEG Archive (OMEGA) Magnetoencephalography, structural MRI datasets, and demographics Human
A facial expression database is a collection of images or video clips with facial expressions of a range of emotions.Well-annotated (emotion-tagged) media content of facial behavior is essential for training, testing, and validation of algorithms for the development of expression recognition systems.
A big caveat: a Trump or Clinton follower does not a Trump or Clinton supporter make. In other words, this is not a scientific data set, and we’re not here to make big new proclamations about the American Voter. Mostly we’re just trying to scratch the itch of curiosity. Who is more likely to be a follower of Trump? Of Clinton?
The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...