allwedo.is @allwedo-is - Tumblr Blog

1,965 votes and 187 comments so far on Reddit

#impeach trump #datavis #twitter #reddit

255 votes and 30 comments so far on Reddit

#augmented reality #art

88,788 votes and 1,820 comments so far on Reddit

#video games #reddit

5 votes and 1 comment so far on Reddit

#theimclab #paintAR #reddit

20,645 votes and 271 comments so far on Reddit

#dope #dogs #reddit

76,898 votes and 770 comments so far on Reddit

#cold #ducks #reddit

Apple is reportedly planning to launch an AR headset in 2022 followed by smaller glasses that can be worn all day in 2023, according to The Information.

#social media #crApple #wtf #Apple

#vr #ar #ai #google #google trends

Close your eyes for five seconds. What do you see? Now open your eyes again. What do you see? The answer is simple: light.

Detecting brainwaves associated with imagined movements

:bar_chart: EEG signal processing and machine learning in JavaScript - pwstegman/bci.js

While human brains are specialized for complex and variable real world tasks, most neuroscience studies reduce environmental complexity, which limits the range of behaviours that can be explored. Motivated to overcome this limitation, we conducted a large-scale experiment with electroencephalography (EEG) based brain-computer interface (BCI) technology as part of an immersive multi-media science-art installation. Data from 523 participants were collected in a single night. The exploratory experiment was designed as a collective computer game where players manipulated mental states of relaxation and concentration with neurofeedback targeting modulation of relative spectral power in alpha and beta frequency ranges. Besides validating robust time-of-night effects, gender differences and distinct spectral power patterns for the two mental states, our results also show differences in neurofeedback learning outcome. The unusually large sample size allowed us to detect unprecedented speed of learning changes in the power spectrum (~ 1 min). Moreover, we found that participants' baseline brain activity predicted subsequent neurofeedback beta training, indicating state-dependent learning. Besides revealing these training effects, which are relevant for BCI applications, our results validate a novel platform engaging art and science and fostering the understanding of brains under natural conditions.